Delta-Sigma Digital-RF Modulation for High Data

Rate Transmitters

by

Albert Jerng

B.S. Electrical EngineeringStanford University, 1994

M.S. Electrical EngineeringStanford University, 1996

Submitted to the Department of Electrical Engineering and ComputerScience

in partial fulfillment of the requirements for the degree of

Doctor of Philosophy in Electrical Engineering and Computer Science

at the

MASSACHUSETTS INSTITUTE OF TECHNOLOGYSept Z006Sept ý006

@ Massachusetts Institute of Technology 2006. All rights reserved.

Author partment of lectrical Engineering and Computer ScienceDepartment of Q letrical Engineering and Comput'er" S' ience

September 21, 2006

C ertified by .... ... . ..............................Charles G. Sodini

-IProfessor

Th2iess Supervisor

MASSACHUSErrOF TECHN

APR 3 0

Accepted by............ .-......... . ...............Arthur C. Smith

LIBRARIES

Uhairman, Department Committee on Graduate Students

ARCHIVES

S INSTITUTEOLOGY

2007

Delta-Sigma Digital-RF Modulation for High Data Rate

Transmitters

by

Albert Jerng

Submitted to the Department of Electrical Engineering and Computer Scienceon September 21, 2006, in partial fulfillment of the

requirements for the degree ofDoctor of Philosophy in Electrical Engineering and Computer Science

Abstract

A low power, wideband wireless transmitter utilizing AE direct digital modulation ofan RF carrier is presented. The transmitter architecture replaces high dynamic rangeanalog circuits with high speed digital circuits and a passive LC bandpass filter, savingpower and area compared to conventional IQ modulators for wideband systems. Aprototype transmitter IC built in 0.13 pm CMOS demonstrates a data rate of 1.2Gb/s using OFDM modulation in a bandwidth of 200 MHz centered at 5.25 GHz.The modulator consumes 187 mW and occupies a die area of 0.72 mm2 . A quadraturedigital-IF approach eliminates modulator LO feedthrough and image spurs from theoutput spectrum without requiring analog circuitry or system calibration, simplifyingthe design of the transmitter. The largest modulator spur is measured to be -47 dBc.Measured SNDR over a 200 MHz bandwidth is 43 dB.

Successful implementation of the AE RF modulator requires the design of a high-Q, tunable RF bandpass filter, and a low power, high speed digital AE modulator. A4th order passive LC bandpass filter with center frequency of 5.25 GHz is designed andimplemented using differential coupled resonators. Variation of the filter response overprocess and temperature is removed through the design of an automatic self-tuningloop that calibrates the filter center frequency to the system LO. A 2.625 GS/s, 2ndorder, 3-bit digital AE modulator is realized through the use of a pass-gate addercircuit optimized for low power and high speed.

The digital modulator is software programmable to support multiple bandwidths,frequency channels, and modulation schemes. It can be used adaptively to transmitin selected channels with variable bit-rates, depending on channel conditions. It isenvisioned that the AE digital-RF modulator can be used as a universal transmitterfor wideband systems and applications that require high data rates and low powerconsumption.

Thesis Supervisor: Charles G. SodiniTitle: Professor

Acknowledgments

The completion of my PhD program has been a very rewarding process and experi-

ence. In particular, I have been enriched by the interactions with faculty, and fellow

students both inside and outside the classroom and lab. I'd like to thank my advisor

Prof. Charles Sodini - his guidance and judgement throughout my thesis project has

been greatly appreciated. Thanks for pushing me with thought-provoking questions,

which helped me realize the full potential of this project. I'd like to thank my com-

mittee member Prof. Anantha Chandrakasan for providing me with knowledge on

digital design issues and giving me a kickstart on the high speed adder design. I'd like

to thank my committee member Prof. Mike Perrott for providing helpful suggestions

on the phase detector design in my tuning loop, providing advice throughout my pro-

gram, and sharing lab equipment with our group. I'd also like to thank Prof. Vladimir

Stoyanovic for helpful discussions regarding high speed digital interfaces. During my

summer at ADI, I got some great feedback regarding my project. In particular, I'd

like to thank Bill Schofield and Richard Schreier for their helpful discussions and

comnments.

I have enjoyed the comaraderie and help of many labmates over the years. Andy

Wang was a great source of knowledge on system issues. Todd Sepke has helped me

a lot through technical discussions, and by proofreading papers for me. Anh Pham

provided great advice on RF board design and was a magician soldering ICs for me.

Lunal Khuon provided lots of helpful lab parts and was a great conference roommate

and fellow senior citizen/dad. Andrew Chen was a great die photographer and helped

me out on digital testability issues. Ken Tan, Nir Matalon, Farinaz Edalat, and Khoa

Nguyen helped me understand the WiGLAN system and use the boards to test EVM

on my transmitter. Mark Spaeth provided lots of help with PCB design questions and

lab troubles. It has been fun socializing with the all the above and other members of

the lab John Fiorenza, Matt Guyton, Albert Chow, Johnna Powell, and Kevin Ryu.

I'd also like to thank Rhonda Maynard for all her help with taking care of purchase

orders, and quotes, and reimbursements, and just making life easier for me.

I'd like to thank my family and friends for always being there for me. To my

parents, thank you for all your support over the years, and for providing the framework

that makes this all possible. To my wife, Veronica, thank you for embracing the change

of lifestyle and weather so whole-heartedly, and for being such a good mother and

partner. And to my little one, Elliot, thank you for brightening each day with your

smile.

Contents

1 Introduction

1.1 WiGLAN Transmitter ..........................

1.2 Conventional IQ Transmitter . ......................

1.2.1 IQ Modulator Impairments . ...................

1.3 AZ Digital-RF Modulation .......................

1.3.1 Process Scaling . .........................

1.3.2 Circuit Integration . .......................

2 Digital-RF Conversion

2.1 Previous Research .............................

2.2 RF Bandpass Reconstruction Filter . ..................

2.3 Filtering Requirements . .........................

3 LC Bandpass Filter Design

3.1 Challenges . ...............

3.2 Differential Coupled Resonator Topology

3.2.1 Area Considerations .......

3.2.2 Impedance Considerations .

3.2.3 Inductor Design ..........

3.2.4 Varactor Design ..........

3.2.5 5.25 GHz Filter Design ......

3.3 Automatic Tuning Loop .........

3.3.1 Non-Idealities ...........

7

3.4

3.5

3.6

4 AE

4.1

4.2

4.3

4.4

4.5

3.3.2 Digital Tuning Loop.....

Q-enhancement . ...........

Test Filter Measurements ......

Summary ...............

System Architecture

Choosing Clock Frequency ......

Co-Design of AE NTF and RF BPF

Comparison to Oversampling with No

UWB System Example ........

Summary ...............

Noise-Shaping

5 Quadrature Digital-IF AE Modulator

5.1 Digital-IF .................

5.2 Quadrature Digital-IF ..........

5.2.1 Bandpass AE ...........

5.3 Frequency Planning ............

5.4 Summary .................

6 Digital Circuit Design

6.1 Low Power Design Challenges ......

6.1.1 General Techniques ........

6.2 AE Modulator Topology . ........

6.3 Low Power, High Speed Adder Design .

6.3.1 Conventional Static Mirror Adder

6.3.2 Passgate Adder . .........

6.4 Top Level Implementation and Results .

6.4.1 Interpolation Filter . .......

6.4.2 Digital-IF Up-Converter .....

6.4.3 Simulation . ............

6.5 Summary . .... ............

93

93

94

96

99

99

102

107

108

110

110

112

7 DRFC Circuit Design 113

7.1 Unit Cell Mismatches ........................... 114

7.1.1 DAC Mismatches .......... ................ 115

7.1.2 AE DRFC Mismatches ............ ........... 118

7.2 Behavioral Simulations .......................... 120

7.2.1 LO Phase Mismatch ............ ..... ...... 124

7.3 Circuit Implications ................... ........ 124

7.4 DRFC Unit Cell Implementation ................... . 126

7.5 Simulation Results .............. ........... 130

7.6 Summary .............. ................... 134

8 Measurement Results 135

8.1 Fabricated Test Chips ....... ........... ....... 135

8.2 Test Setup ................ . .............. 138

8.3 Test Chip Results ................... .......... 139

8.4 Power/Area Comparison ................ ........ 150

9 Conclusion 153

9.1 Future Directions ........... . .. ............ 154

9.1.1 Mismatch Shaping ................... ..... 154

List of Figures

1-1 Conventional IQ Modulator ................... .... 22

1-2 IQ Modulator Output Spectrum ................... .. 25

1-3 Digital QPSK Modulator ................... ...... 26

1-4 Digital AE RF Modulator ................... ..... 27

2-1 RF DAC Unit Cell ....... .. .......... 30

2-2 DRFC Unit Cell ....... . .............. 31

2-3 Up-Converted Clock Images ................... .... 32

2-4 Up-Converted Quantization Noise ................... . 32

2-5 Quadrature Digital-RF Converter Core . ................ 33

3-1 Filter Topology ........... ..... . ............. 38

3-2 Differential Resonator with Non-linear C(V) . ........... . 43

3-3 LC BPF Schematic ................... ....... . 45

3-4 Differential Inductor Lumped Element Model . ............ 45

3-5 Differential Tank Capacitance C(V) . .................. 46

3-6 Coupled Resonator Model ................... ..... 48

3-7 Tuning Loop Block Diagram ................... .... 49

3-8 Tuning Loop Model ........ ......... ......... 50

3-9 Filter Block and Phase Detector Transfer Functions ......... . 51

3-10 Phase Detector Schematic ........... ..... . .... . . 52

3-11 Filter Block Transfer Function vs. Temperature . ........... 53

3-12 Phase Detector Transfer Function . .................. . 54

3-13 Filter Input-Output Phase Difference . ................. 54

3-14 Filter Response ................... .. ........ 56

3-15 Q-enhanced Resonator Model ................... ... 57

3-16 Simplified Test Filter Schematic ................... .. 61

3-17 Test Filter Die Photo ................... ........ 62

3-18 Filter Response vs. Vtune ................... ..... 63

3-19 Automatic vs. Manual Tuning ................... ... 63

3-20 Q-enhanced Filter Response Tuning Curves . ............. 64

3-21 Automatic vs. Manual Tuning, Q-enhanced version . ......... 65

3-22 Measured Filter with and without Q-enhancement . .......... 65

3-23 Q-enhanced Filter : Measured vs. Simulated . ............. 66

4-1 AE Digital-RF Modulator ................... ..... 67

4-2 AE Modulator Output Spectrum ................... . 68

4-3 Aliasing Problem in Up-Conversion . .................. 69

4-4 No Aliasing with fLo = 2 flk .................... ... 70

4-5 Normalized Magnitude of Zero-Order Hold Frequency Response . . . 71

4-6 Image Rejection vs. OSR ........ ................. 71

4-7 SNR (dB) vs. Loop Filter Order for various OSR . .......... 73

4-8 RF Output Spectrum using 3rd order, 1-bit AE Modulator ...... 74

4-9 RF Output Spectrum using 2nd order, 3-bit AE Modulator ...... 75

4-10 UWB Output Spectrum using System Parameters from Table 4.3 . . 78

5-1 Digital-IF AE RF Modulator . ................... .. 82

5-2 Aliasing when fIF = LK .............. . . . . . . . ... 84

5-3 Quadrature Digital-IF AE RF Modulator . ............ . 84

5-4 SNR vs. LO Phase Error for Quadrature Digital-IF . ......... 85

5-5 Digital-IF Bandpass AE Modulator . ................. 86

5-6 Single PLL LO Generation for Digital-IF Architecture ........ . 88

5-7 Zero Order Hold Impulse Response . .................. 89

5-8 Frequency Response of Zero Order Hold . ............... 90

5-9 Single PLL LO and CLK generation avoiding spurs at 5.25 GHz . . . 91

6-1 Pipeline of (4) 3-bit Ripple Carry Adders .........

6-2 Pipeline of (2) 6-bit Ripple Carry Adders .........

6-3 Error Feedback Topology . ...............

6-4 2nd Order MASH Error Feedback Topology . . . . . . .

6-5 MATLAB Simulation of 2nd Order, 3-bit AE Modulator

6-6 Mirror Adder Even Cell . .................

6-7 Mirror Adder Odd Cell ...................

6-8 NMOS Passgate Adder Simplified Schematic .......

6-9 PMOS Sense Amplifier ...................

6-10 RC Network to Model Carry Chain Delay . . . . . . ..

6-11 Passgate Adder Transistor-Level Schematic ........

6-12 Pass-Gate Adder Carry Chain Waveforms . . . . . . ..

6-13 Digital Block Diagram ...................

6-14 4x Interpolator Implementation . ...........

6-15 Digital-IF I,Q Bitstreams. ..................

6-16 Digital-IF Up-Converter Implementation .........

6-17 Verification of Digital Block ................

7-1

7-2

7-3

7-4

7-5

7-6

7-7

7-8

7-9

7-10

7-11

Quadrature Digital-RF Converter Core .

DRFC Unit Cell Mismatches . . . . . . .

LO Amplitude Mismatch . . . . . . . ..

LO Phase Mismatch ...........

Data Timing Error ............

Behavioral Mismatch Simulation . . . . .

SNDR (Mean) vs. Percent Mismatch . .

SNDR (Std Dev) vs. Percent Mismatch.

LO Timing Spread vs. Gain Mismatch

SNDR vs. LO Delay/Segment . . . . . .

Unit Cell Transistor Mismatches . . . . .

. . . . . 94

. . . . . 95

. . . . . 96

. . . . . 97

. . . . . 98

. . . . . 100

. . . . . 100

. . . . . 102

. . . . . 103

. . . . . 104

. . . . . 105

. . . . . 106

. . . . . 107

. . . . . 108

. . . . . 109

. . . . . 109

..... 111

. . . . . . . . . . 114

. . . . . . . 116

. . . . . . . 117

. . . . . . 118

. . . . . . 119

. . . . . . . 121

. . . . . . . . . . 122

. . . . . . . . . . . 122

. . . . . . . . . . 123

. . . . . . . . 123

. . . . . . . . . 125

7-12 LO Differential Pair Output Current Matching . 126

7-13

7-14

7-15

7-16

7-17

7-18

7-19

7-20

7-21

7-22

Test Chip 1 Block Diagram

Test Chip 2 Block Diagram .

Testing Setup .........

8-4 Test Chip 1 :

Test Chip 1 :

Test Chip 1 :

Test Chip 1 :

Test Chip 2 :

Test Chip 2 :

Test Chip 2 :

Test Chip 2 :

Test Chip 2 :

Test Chip 2 :

Test Chip 2 :

Test Chip 2 :

12 MHz Input ................

102 MHz Input ...............

Wideband Plot ...............

OFDM Signal .............. ..

Direct Up-Conversion of 12 MHz Input . .

Two-Tone Simulation . . . . . .

Digital-IF, 12 MHz .............

Digital-IF, 12 MHz, Shift Clock Frequency

Digital-IF, Wideband Plot .........

200 MHz OFDM Signal ...........

20 MHz OFDM Channel for 802.11a. ....

Pair of 20 MHz OFDM Channels . . . . .

8-16 SNR Measurement using WiGLAN Receiver . . . .

8-17 Test Chip 1 Die Photo . ...............

8-18 Test Chip 2 Die Photo ................

. . . . . . 136

. . . . . . 137

. . . . . 138

. . . . . . 139

. . . . . . 140

. . . . . . 141

. . . . . . 141

. . . . . . . 142

. . . . . . 143

. . . . . . 144

. . . . . . . 144

. . . . . . 145

. . . . . . 146

. . . . . . . 146

. . . . . . . 147

. . . . . . . 147

. . . . . . . 149

. . . . . . 149

DRFC Unit Cell and Data Driver . . . . . . . . . . . . ..

Differential Output Current of Unit Cell . . . . . . . . . . . . ..

Combined Sum of Unit Cell Currents . . . . . . . . . . . . ......

Quadrature DRFC Filtered Output . . . . . . . . . . . . . ..

FFT of QDRFC Output . ...... . . . . . . . . . . . . . ..

FFT of Digital-IF QDRFC Output . . . . . . . . . . . . ..

Simulation of Extracted Layout . . . . . . . . . . . . . ..

Simulation of Revised Extracted Layout . . . . . . . . . . ......

Simulation of Quadrature Digital-IF DRFC using Extracted Layout

Simulation of Quadrature Digital-IF DRFC using Revised Extracted

Layout ........................... .......

127

128

129

129

130

131

132

133

133

134

8-1

8-2

8-3

8-5

8-6

8-7

8-8

8-9

8-10

8-11

8-12

8-13

8-14

8-15

9-1 Element Rotation Hardware Implementation . . . .. . . .. ... .. . 155

9-2 Behavioral Model Simulation using Element Rotation .... ..... . 155

List of Tables

1.1 Target SNR for WiGLAN Transmitter.................

3.1 2nd Order Bessel k and q values . . . . . . . . . . . .

3.2 Simulated Inductor Q at 2 GHz ...... . . . . . . . . . . ..

3.3 Filter Performance with Resonator Mismatch . . . . . . . . . . . ..

3.4 Current vs. Q-enhancement for DR=60 dB over 200 MHz BW . . . .

4.1 Simulated AE SNR with OSR=13 ....................

4.2 Clock Image Attenuation vs. Clock Frequency for 200 MHz RF BW .

4.3 UWB System Example (Band 1, Channel 2 at 3.96 GHz) .......

39

41

55

60

5.1 LO, Clock, and IF frequencies for DIVIDE = 8 or 16 ........ . 91

6.1 Pipelined 2-bit Mirror Adder Simulation Results ......... . . . 101

6.2 6-bit Pass-Gate Adder Simulation Results . .............. 106

6.3 Digital Block Simulation Summary . .................. 112

8.1 AE Modulator Power Consumption/Die Area . ............ 148

8.2 FOM Comparison ................... .......... 150

8.3 Conventional IQ Modulator Implementation . ............. 151

9.1 Element Rotation Algorithm ........ . . .. 154

Chapter 1

Introduction

This research introduces a new transmitter architecture that targets high data rate

wideband systems. AE digital-RF modulation efficiently modulates an RF carrier

with very wide bandwidths. A wideband digital-RF modulator can be software-

defined to transmit multiple frequency channels, with variable bandwidths and mod-

ulation schemes, within the band. Thus, the modulator can be programmed to utilize

a band of spectrum on an adaptive basis, depending on wireless channel conditions

and interferers, or upon the specifications of a given standard.

Next generation wireless systems such as 802.11n and UWB aim to provide higher

data rates approaching 1 Gb/s in order to support demand for high data rate wireless

communications. These systems use OFDM modulation in order to utilize spectrum

efficiently, leading to high peak to average power ratios and high dynamic range

requirements. As data rates and signal bandwidths increase, the DAC, analog recon-

struction filter, and analog mixer found in conventional IQ transmitters become more

difficult to design given constraints on power, noise, and linearity. The scaling of

CMOS transistors and supply voltages creates further challenges from the standpoint

of dynamic range. A transmitter architecture based on AE direct digital modulation

of the RF carrier replaces high dynamic range analog circuits with high speed digital

circuits, and enables power and area savings in the implementation of a wideband

transmitter as CMOS transistors continue scaling. This thesis makes the following

contributions.

1. Design of a wideband direct digital-RF modulator architecture that efficiently

provides Gb/s data rates.

2. Integration of a digital-RF converter with an RF bandpass reconstruction filter,

eliminating spurious signals and noise associated with digital-RF conversion.

3. Demonstration of a quadrature digital-IF AE RF Modulator with < -60 dBc

LO and image spurious signals.

Successful implementation of the AE Digital-RF modulator was enabled through

the design of two novel circuit blocks.

1. A high-Q passive LC bandpass filter with automatic center frequency tuning

loop.

2. A low power 2.6 GS/s Digital AE modulator utilizing an adder design based

on NMOS passgate chains and sense-amplifier flip-flops.

The outline of the thesis will be as follows. A Wireless Gigabit Local Area Network

(WiGLAN) project that aims to provide Gb/s data rates for next generation networks

will be introduced. Conventional IQ transmitter design will be discussed and the new

AE Digital-RF modulator will be introduced. Design details of the high-Q tunable

LC bandpass filter and AE system architecture will be presented, and the importance

of co-designing the digital AE modulator and RF BPF will be explained. The method

and benefits of quadrature digital-IF up-conversion will be described. The design of

the high speed digital modulator and current-switching digital-RF converter will be

presented. Finally, measurement results from two test-chips will be provided and the

thesis will conclude with a power and area comparison between the new architecture

and the conventional IQ modulator.

1.1 WiGLAN Transmitter

The WiGLAN transmitter aims to achieve Gb/s data rates by increasing the RF

bandwidth to 200 MHz, employing an adaptive M-ary QAM modulation format up to

Table 1.1: Target SNR for WiGLAN Transmitter

256-QAM SNR 30 dB

Peak-Average Symbol Power 4 dB

Peak-Average Power Ratio due to multiple sub-carriers 15 dB

TOTAL 49 dB

256-QAM, and utilizing spatial diversity gain from a multiple-input multiple-output

(MIMO) antenna system and MIMO signal processing. WiGLAN uses an OFDM

frequency multiplexing scheme with a 1 MHz sub-carrier spacing to increase spectral

efficiency and mitigate the effects of multipath. It intends to operate in the 5.15-5.35

GHz UN-II band with a center frequency of 5.25 GHz. If 256-QAM is used on all 200

sub-carriers, a raw throughput of 1.6 Gb/s can be achieved.

While the large number of constellation points in 256-QAM increases the data. rate

for a given symbol rate, it also raises the required SNR of the transmit signal. Because

the constellation points are closer together for a fixed transmit power, it takes smaller

amounts of random noise to cause symbol decision errors. Also, because information

is encoded in the amplitude of the symbol as well as its phase, a transmitter with

high linearity is required to avoid compression of the signal. Further exacerbating the

situation is the fact that in OFDM systems, the peak-to-average power ratio (PAPR)

is high because the transmit signal is the aggregate sum of a large number of sub-

carriers. Coherent addition of the sub-carriers in phase results in large signal peaks.

As a result of these system choices, the transmit signal dynamic range requirements

increase significantly.

Assuming an SNR requirement of 30 dB [1] due to additive white gaussian noise

(AWGN) for 256-QAM, the proposed WiGLAN system would require - 50 dB of

dynamic range according to Table 1.1. In addition to AWGN, other impairments

that can affect the BER performance include phase noise, narrowband interference,

and group delay variation. It has been shown that while phase noise and group delay

variation specifications require approximately 6 dB higher performance in 256-QAM

10 Modulator- - - - -- - - - - - - - - - - --. .

a

Figure 1-1: Conventional IQ Modulator

compared to 64-QAM, signal to interferer (S/I) ratios must increase by approxi-

mately 12 dB when going from 64-QAM to 256-QAM [1]. LO feedthrough and image

rejection performance determine the level of narrowband interferers generated in IQ

transmitters. A S/I ratio of roughly 37 dB is required for 256-QAM [1].

The challenge for the WiGLAN transmitter is achieving high dynamic range over

a wide RF bandwidth with excellent LO and image spurious performance. Currently,

the widest RF bandwidth supported by 802.11 systems is 20 MHz [2].

1.2 Conventional IQ Transmitter

Fig. 1-1 shows a block diagram of a conventional IQ transmitter used to up-convert

digital baseband signals to an intermediate or final RF frequency. The output of the

IQ modulator can be mathematically written as

I cos(w t) + Q sin(w t) = A cos(w t + ¢) (1.1)

where

A= I 2 + Q2 (1.2)

andI

S= arctan( ) (1.3)Q

This architecture is popular because it can produce arbitrary phase and/or ampli-

tude modulation. Furthermore, it is attractive in integrated implementations because

when the I and Q paths are well-matched, accurate modulation is achieved regardless

of temperature, supply, or process variations.

In order for the IQ modulator to correctly reproduce equation (1.1), the I and

Q signal paths from the DAC to the output of the mixer must be linear and well-

matched. The analog circuits in this path must maintain noise and distortion to

levels satisfying the required dynamic range of the system. As the baseband signal

bandwidth increases, the DAC and analog filter blocks become more difficult to design.

Current-steering DAC architectures have achieved the best performance at high

sampling rates [3],[4],[5]. At high frequencies, their spurious-free dynamic range is

limited by dynamic errors rather than static DC errors. Imperfect synchronization

between the control signals of current switches causes code-dependent timing errors

[3]. The code dependency results in distortion at high frequencies. A voltage glitch

can appear at the source node of the current steering switches [4]. Any non-linear

capacitance on this source node will produce distortion [5]. Transient waveforms

that do not, settle within a clock period can alter the value of the next data sample.

This inter-symbol interference causes disturbances to circuit nodes that are data-

dependent, again introducing distortion [4]. Recent DACs with SFDR > 60 dB

have been reported in the literature with sampling speeds greater than 1 GS/s and

output frequencies greater than several hundred MHz [4],[3]. However, reported power

consumption for these DACs are in the range of 110 mW - 400 mW.

Power consumption in the analog reconstruction filter increases proportional to

signal bandwidth for a constant dynamic range [6]. This can be shown by writing the

following expressions for a- filter.

NSD vn 2 4kTSD = oc -- (1.4)

Af gm

Bandwidth oc 9 (1.5)C

4kTNoisePower = (NSD)(Bandwidth) c C4 (1.6)

Linearity oc (Vg, - Vt) = (1.7)gm

Eqn. (1.7) is derived from the classical long-channel approximation for a MOS

device, assuming square law behavior.

If the bandwidth of the filter is increased by a factor s while keeping noise power

fixed, it follows from eqns. (1.5) and (1.6) that gm must also increase by a factor

s. If gm increases by a factor s, then to maintain the same linearity, Id must also

increase by the same factor s using eqn. (1.7). Eqn. (1.6) also indicates that analog

filter design involves a fundamental tradeoff between noise and capacitor area.

1.2.1 IQ Modulator Impairments

The output spectrum of an ideal IQ modulator contains a single tone at frequency

WLO + WBB (assuming a sine-wave baseband input). In practice, spurious signals due

to LO leakage, baseband harmonic distortion, and finite image rejection accompany

the desired signal as shown in Fig. 1-2.

LO leakage is typically caused by random device mismatches in the baseband

transconductor of the mixer. This creates a dc offset that up-converts to the LO

frequency at the output of the mixer. The magnitude of the LO leakage relative

to the desired output signal is proportional to the ratio between the DC offset and

the baseband input signal. One can minimize LO leakage by increasing the ampli-

tude of the baseband signal. The tradeoff is that the baseband harmonic distortion

increases when the signal amplitude is increased. The transconductor is typically

designed to keep harmonic distortion < -50 dBc at the expense of LO leakage and

noise performance.

Image rejection is limited by the amplitude and phase matching of the quadra-

ture LO signals and the I and Q baseband paths. Without additional calibration

10 Modulator TypicalOutput Spectrum

Desired

Figure 1-2: IQ Modulator Output Spectrum

algorithms and correction circuitry, the LO and image signals are typically -30 to -40

dBc.

1.3 AE Digital-RF Modulation

This research proposes direct digital modulation of the RF carrier as the basis for

a transmitter architecture that can eliminate high performance DACs and analog

filters. Before discussing this architecture, we will briefly review other transmitter

approaches found in the literature.

Closed loop PLL modulation directly modulates the VCO without requiring a

DAC or analog filter [7]. However, the data bandwidth is limited by the relatively

narrow PLL loop bandwidth required to suppress synthesizer phase noise. It is un-

suitable for wideband applications with bandwidths on the order of 100 MHz.

A simple realization of wideband direct digital modulation is shown in Fig. 1-3 [8],

which implements a QPSK modulator capable of generating one of four quadrature

phases of the RF input. This brute-force approach is limited in its applicability.

An OFDM system with multiple sub-carriers each being modulated by 256-QAM

(0 LO

Digital Inputs

Figure 1-3: Digital QPSK Modulator

would require the generation of much more than four phase angles. In addition,

this approach introduces abrupt phase transitions in the RF signal. By sending the

data with ideal rectangular pulses, the frequency spectrum of the output signal takes

on a Sin profile, producing a wide transmitted spectrum. In order to accomodate

many users and avoid interference problems, Nyquist filtering is applied to digital

data in wireless transmitters to narrow the transmit spectrum without introducing

inter-symbol interference (ISI). In the time domain, the data transitions are smoothed

while the data points at ideal sampling instants remain unaffected.

The desire for a band-limited transmit spectrum requires the phase shifter design

to have continuously adjustable phase rather than discrete phase levels. An analog

phase shifter is more complicated to design and requires a DAC and analog filter to

interface to digital data. In addition, accurate modulation is difficult to achieve due

to changes in an analog phase shifter's characteristics over process, temperature, and

voltage.

Over-sampling AE concepts [9] can be applied to create a digitally controlled

vector modulator that provides a continuous range of output phase and amplitude

values. In Fig. 1-4, filtered I,Q digital data are over-sampled and converted into 1-bit

0 or 180

I*cos( co t)+Q*sin(o t)0

Figure 1-4: Digital AE RF Modulator

output streams by digital AE modulators. The phase shifter needs to either pass the

LO signal or invert it, and can be realized trivially by a differential current steering

switch in CMOS. While the quadrature LO signals being modulated toggle between

only two phases, their sum represents a continuous range of phase/amplitude modu-

lation based on the duty cycle of the over-sampled AE bit-stream. The modulation of

the RF carrier is correctly encoded but obscured by a large amount of high frequency

quantization noise. An RF bandpass filter removes the out-band quantization noise

and reconstructs the modulated RF signal. The concept can be extended to multi-bit

AE modulators using binary weighted or unary weighted LO current steering cells.

This architecture replaces the DAC, analog reconstruction filter, and analog mixer

with a high speed AE modulator, a digital-RF converter (DRFC) based on current

steering switches, and a passive RF BPF. The primary advantage is that the analog

baseband signal path has been eliminated, removing noise and linearity considerations

from the design and enabling power and area savings for wide bandwidths. Both

baseband and RF inputs to the DRFC are fully switching digital signals and no

distortion results from signal clipping. In addition, a passive RF BPF consumes no

power and has little noise and distortion, in contrast to active analog filtering.

1.3.1 Process Scaling

The analog circuit design in conventional IQ transmitters becomes even more chal-

lenging as transistor sizes and supply voltages continue scaling downward. However,

the AE digital-RF modulator benefits from the faster digital circuits available from

scaled CMOS processes. Scaling directly reduces the power and area of the high

speed digital AE modulator. In digital process scaling, there has also been a trend of

increasing levels of metallization and lower resistance routing. As a result, on-chip in-

ductors with higher Q can be built using lower loss metals that are farther away from

the substrate. Higher inductor Q allows the design of sharper, more selective passive

bandpass filters, improving the quantization noise suppression of a AE digital-RF

modulator.

1.3.2 Circuit Integration

In conventional IQ transmitters, the DAC, analog reconstruction filter, and analog

mixer are designed as distinct blocks that must interface to each other. The DAC is

often on a separate digital chip. Each block contributes its own noise and distortion

to the transmit signal. In order to meet the dynamic range specifications of the

transmitter, each individual block must be designed such that its dynamic range

exceeds the overall specifications. The AE digital-RF modulator can be integrated in

a digital CMOS process. In addition, the DRFC and bandpass filter can be combined

into a single circuit structure, as will be shown in the next chapter. Noise and linearity

constraints do not apply to the digital circuits, and only mismatches between DRFC

current-steering switch cells can cause distortion, as will be discussed later.

Chapter 2

Digital-RF Conversion

In a conventional transmitter, the digital baseband signal is first converted to an

analog signal using a DAC, and then up-converted to RF frequency using a mixer. A

digital-RF converter (DRFC) combines these two steps into one circuit. The DRFC

inputs are the digital baseband bits and the DRFC output contains the analog base-

band signal modulated around an RF carrier.

2.1 Previous Research

A radio frequency digital-analog converter (RF DAC) was introduced in [10]. In

general, the output of a DAC contains the desired analog signal as well as its images

around each multiple of the DAC clock frequency. The RF DAC uses one of these high

frequency clock images as an RF output. A simple schematic representation of an RF

DAC unit cell is shown in Fig. 2-1. A sine-wave at the desired clock image frequency

modulates the DC bias voltage of the DAC current source. This increases the clock

image power by mixing the DAC impulse response to the clock image frequency.

One drawback is that the RF DAC outputs substantial energy at other frequencies,

including its primary output near DC.

The digital-RF converter (DRFC) in [11] features a balanced version of the RF

DAC unit cell, as shown in Fig. 2-2. The balanced unit cell is a more efficient RF

modulator because the low frequency response around DC is rejected and the RF

RF DAC Unit Cell

DigitData

Vbias

Figure 2-1: RF DAC Unit Cell

output is now the primary output. This balanced unit cell is identical in structure to

a Gilbert-cell mixer. The difference is that in a DRFC, the digital baseband inputs

directly drive the top pair of current-steering switches, multiplying an RF carrier

signal by +1 based on the digital data. In contrast, the Gilbert-cell mixer's bottom

differential pair is driven by an analog baseband signal and must be linearized.

The DRFC performs a mixing operation between the digital baseband signal and

the local oscillator signal to produce a modulated RF output. It merges the func-

tions of the DAC and mixer, while eliminating the analog filtering between the two.

However, the frequency spectrum of the digital signal repeats itself at all multiples

of the sampling rate or clock frequency. These clock images are up-converted by the

DRFC without any filtering besides the sinc response associated with the zero-order

hold in the digital-RF interface. When using a digital AE modulator, high frequency

shaped quantization noise is up-converted without any filtering. In either case, an

RF bandpass filter is required at the output of the DRFC, as illustrated in Fig. 2-3

and Fig. 2-4. In the previous work [10], [11], substantial off-chip filtering is required

to eliminate high frequency clock images and quantization noise and produce a clean

Digital-RF Converter Unit Cell

DigitalData

+

Figure 2-2: DRFC Unit Cell

transmit spectrum. The fundamental difficulty with direct digital-RF conversion is

the transmission of spurious emissions outside the signal band that are difficult to

filter at RF frequencies.

One approach to the filtering problem involves embedding a semi-digital FIR

reconstruction filter in the digital-RF interface. In [12], the 1-bit output of a AE

modulator goes through a 6-tap digital delay line. Each output of the delay line is

applied to the switch input of an RF DAC cell whose current source is weighted with

the appropriate FIR filter coefficient. The drawback to this approach is that a large

number of taps is needed to implement an FIR filter with reasonable attenuation. For

example, in [13], a 128-tap delay line realizes the equivalent transfer function of a 2nd

order analog filter with -20 dB/decade slope in the stopband. For high RF output

frequencies and wide baseband bandwidths with high sampling rates, a large number

of delay taps and weighted current sources in the digital-RF interface will consume a

large amount of power. In [12] with a 6 tap FIR filter, the RF output spectrum at 1

Up-Converted Clock Images

fLQ/fCLK fLO fLO +

Figure 2-3: Up-Converted Clock Images

Up-Converted Quantization Noise

Figure 2-4: Up-Converted Quantization Noise

I+

Q it

I sint wt

Figure 2-5: Quadrature Digital-RF Converter Core

GHz contains a significant amount of out-of-band quantization noise. The magnitude

of this noise is approximately -35 dBc at a frequency offset of 15 MHz from a 1 GHz

single-tone output.

2.2 RF Bandpass Reconstruction Filter

Our design integrates a high-Q passive LC bandpass filter into the load of the digital-

RF conversion circuit. Fig. 2-5 shows a circuit schematic of our quadrature DRFC

with load filter.

This realization integrates both the DRFC and RF BPF under a single supply.

In the unit cells, quadrature phases of an RF carrier are applied to differential pairs

biased by tail current sources. The output currents of the differential pairs are routed

through differential current steering switches controlled by the I and Q digital AE

modulator output bits. The resulting output currents from each unit cell are summed

and then filtered by a passive LC network that also performs I-V conversion. The

filter does not consume any additional voltage headroom due to the inductor, and

acts as a tuned load to provide high gain for the DRFC.

Passive LC filtering at RF is attractive because it provides high dynamic range

with no power consumption. At multi-GHz RF frequencies, LC filters are relatively

small in terms of die area. However, the steepness of a passive LC filter's roll-off is

limited by the finite Q of on-chip passives. The feasibility of this approach depends

on the RF filtering requirements.

2.3 Filtering Requirements

The required Q of the bandpass filter can be approximated using the relation

Q = fo (2.1)BW

where fo is the filter center frequency and BW is the signal bandwidth. A typical

narrowband wireless system such as GSM has a signal bandwidth of 200 kHz and a

center frequency of 1-2 GHz, requiring a Q of 5,000-10,000. Fortunately, the required

Q decreases as the signal bandwidth increases. For wideband systems with signal

bandwidths on the order of 100 MHz, conventional analog filtering becomes more

difficult while RF bandpass filtering becomes practical. The WiGLAN transmitter,

with a bandwidth of 200 MHz and a center frequency of 5.25 GHz, requires a Q of -

25, which is still difficult but possible.

The selectivity requirements of the BPF also depend on the location and mag-

nitude of the spurious signals. Oversampling of the digital input signal places clock

images farther out in frequency and reduces RF filtering requirements. A high speed

current-steering DRFC requires accurate distribution and matching of the LO path

signal [11]. For multi-GHz LO and clock frequencies and a typical segmented archi-

tecture with a large number of unit cells, the power consumption of the LO and data

buffers becomes substantial. Oversampling AE modulation pushes the clock images

farther away and also reduces the number of unit cells required by the converter.

This reduces the power consumption and area of the DRFC, and minimizes routing

parasitics in a high frequency converter. The spurious signals are dominated by the

shaped out-of-band quantization noise, whose magnitude can be engineered through

design of the AE noise transfer function (NTF).

In the following sections, the design of a fully integrated high-Q LC BPF and the

architecture of the AE digital-RF modulator will be described. The design of the

AE modulator will be dictated by the required in-band SNR, as well as the required

out-of-band noise requirements and achievable RF filtering.

Chapter 3

LC Bandpass Filter Design

3.1 Challenges

The design of a passive LC bandpass filter involves several challenges. In order to

attain a sharp roll-off, the on-chip passives used in the filter must have high Q.

The finite Q of on-chip inductors typically limits the overall Q to the range of 10-20,

depending on the parameters of the process. With high Q and a narrow passband, any

varia.tions in capacitance or inductance over process and temperature will cause a, shift

in the filter center frequency and a large amplitude loss in the fixed RF bandwidth of

the system. Meanwhile, noise and spurious signals at out-of-band frequencies may fall

in the shifted passband of the filter. A practical realization must include an automatic

control loop to stabilize the filter center frequency over process and temperature

variations. In order to attain higher resonator Q, active Q-enhancement can be added

but will be accompanied by a penalty in power consumption and dynamic range.

3.2 Differential Coupled Resonator Topology

A conventional bandpass design method is to take a lowpass prototype ladder filter

and perform a lowpass to bandpass transformation by placing a capacitor in series

with all inductors and an inductor in parallel with all capacitors. The resulting ladder

contains too many inductors, occupying large die area. A narrowband approximation

BandpassLC LadderFilter

CoupledResonatorFilter

DifferentialCoupledResonators

Figure 3-1: Filter Topology

to the bandpass ladder filter can be realized with shunt LC resonator sections that are

capacitively coupled [14]. This topology minimizes the number of inductors required

in the filter. Further area reduction is achieved by converting the topology into its

differential form, as shown in Fig. 3-1. Symmetric differentially-wound inductors take

up less area than two equivalent single-ended inductors. In addition, wasteful spacing

between inductors is eliminated, allowing a more compact layout. The capacitor area

is reduced by a factor of 4 in the differential resonator implementation.

The coupled resonator design methodology follows in a manner analogous to con-

ventional ladder design using filter look-up tables [14]. Based on the normalized

resonator quality factor defined as,

11

_Filter

Table 3.1: 2nd Order Bessel k and q values

qo Insertion Loss (dB) q1 qn k12

00 0 0.5755 2.1478 0.8995

9.078 1.335 0.61 1.7737 0.8329

4.539 2.734 0.6523 1.4920 0.7685

3.026 4.187 0.7093 1.2606 0.7068

2.269 5.680 0.8138 1.0263 0.6486

1.816 7.270 0.9078 0.9078 0.6360

1.513 9.208 0.9078 0.9078 0.6360

1.297 11.707 0.9078 0.9078 0.6360

Afq0 = Qo (3.1)

fmnormalized coefficients of coupling k, and normalized source and load q values

are tabulated for coupled ladder lowpass prototypes. In eqn. (3.1), Af is the filter

bandwidth, f, is the filter center frequency, and Q0 is the unloaded resonator Q. For

example, in Table 3.1 [14], the normalized k and q values are listed for a 2nd order

Bessel lowpass filter prototype.

The un-normalized bandpass parameters are given by [14]

AfKi,k = k,kA (3.2)fm

Qi = q, (3.3)AfChoosing an inductance value L, the filter component values can be calculated

using [14]

1= fm (3.4)

where CN are the nodal capacitances with all other nodes shorted to ground. CCi,k

are the coupling capacitances between nodes i and k and are equal to Ki,k'CN. The i'th

resonator will consist of an inductance L and a capacitance C = CN - CCi_1 - CCi+1.

The source and load resistances can be found from the un-normalized Qi using [14]

R, = wLQi (3.5)

The loss represented by the finite Q of the resonator can be approximated with

a resistor Rp in parallel with the inductor. If we make the approximation that R, is

constant over the narrow bandwidth of the filter, then the physical source and load

resistors required by the design can be calculated using

Ri R,RS,L = R (3.6)Rp - RiFor a particular filter order, there is a minimum resonator quality factor Qo re-

quired to realize the filter's transfer function. The minimum resonator Q required for

a 4th order Bessel BPF at 5.25 GHz with bandwidth 260 MHz is

f 5.25e9Q = m () = 5.25e9 (1.297) = 26.2 (3.7)Af 260e6

In a given filter type, i.e. Chebyshev, or Bessel, higher order filters provide sharper

selectivity, but require pole locations with higher Q's.

3.2.1 Area Considerations

A straightforward way to reduce filter area is to minimize the required order of the

filter and thus the number of resonators. A Chebyshev filter has the sharpest at-

tenuation characteristics and can be used to minimize the required order. However,

the Chebyshev response will also require a higher resonator Q to realize the desired

pole locations. In a given process, there is generally a design space for inductors that

trades off area for Q [15]. The area of the inductor increases to maximize Q. Table 3.2

lists simulated Q vs. area for several foundry modelled inductor designs at 2 GHz in

IBM's 7WL 0.18 /im BiCMOS process. Because of the tradeoff between area and Q,

a 4th order Chebyshev BPF with 2 resonators is not necessarily smaller in area than

a 6th order Bessel BPF, whose 3 resonators each require lower Q.

Table 3.2: Simulated Inductor Q at 2 GHz

Inductor Type Outer Dimension Metal Width Turns Area Inductance Q

Parallel M7/M6 280 pm 6 pm 4.5 .078 mm 2 7 nH 25.9

Series M7-M6 230 ptm 10 pm 5 .053 mm 2 7 nH 18.7

Series M7-M6 200 A/m 10 A/m 6 .04 mm 2 7 nH 17.2

3.2.2 Impedance Considerations

According to eqn. (3.5), the equivalent resistance of the i'th resonator is proportional

to both L and Qi. Higher equivalent resistance at resonance is advantageous because

for a given desired output voltage swing, less current is required in the DRFC driving

the filter. Higher Q filter designs such as Chebyshev, and larger value inductances in

the resonator can save power in the DRFC.

3.2.3 Inductor Design

In general, the inductance should be chosen to optimize the Q and resonator impedance

at resonance. This will allow one to achieve the maximum selectivity available from

the process. If the filter design does not require a high Q, then inductor Q can be

traded off to minimize area.

A high-Q passive LC filter must be tunable. This is most readily accomplished

by incorporating a varactor as the resonator's capacitance. A large ratio between the

tunable capacitance and fixed capacitance in the resonator maximizes tuning range.

The fixed capacitance is made up of parasitic routing capacitances and loading capac-

itances on the filter nodes. A larger inductor value reduces the overall capacitance

required at resonance, and causes the fixed parasitic capacitances to be a greater

percentage of the total capacitance. The inductance must be chosen small enough to

insure that the tuning range is greater than the expected center frequency variation.

3.2.4 Varactor Design

Varactor design is influenced by Q and linearity. Q is typically limited by the on-chip

inductor, although at higher frequencies the varactor Q can become significant since

1Qvar = (3.8)

wCR,

The overall resonator Q can be expressed as

Qres = ( + ) (3.9)Qind Qvar

The varactor can also cause signal distortion through its nonlinear C-V character-

istic. The voltage across the varactor varies as a function of the input signal driving

the filter. This creates a signal-dependent capacitance in the filter that will result in

distortion.

The magnitude of the distortion products can be calculated by first writing an

equation for the tank capacitance, C, a.s a function of the input signal, V, using a

power series expansion.

C(V) = Co + CiV + C2 V 2 + C 3V 3 + C 4 V 4 + ... (3.10)

Fig. 3-2 depicts a typical differential resonator design consisting of two inductors,

a varactor in series with a fixed capacitor, and a resistor representing the overall

resonator loss. The input to the resonator is a current-mode sine wave at the resonance

frequency, w,. The resulting output voltage will consist of a sine wave at o, as well as

harmonics due to the nonlinear capacitance. The output voltage, V, can be expressed

as

V = I -Z = I(RlljwLI (3.11)jwc(V)

The solution to eqn. (3.11) is not staightforward because C is a function of V,

which in turn is a function of C. The analysis can be greatly simplified by assuming

that V only contains frequencies of the original input current signal. This assump-

tion is valid because the distortion products will generally be much smaller than the

L

VCC

/

C1 CV1 CV2 C2

Vtune

R

0 + V - 0

VCC-- -- sin(wot) -2 sin(wot)

Figure 3-2: Differential Resonator with Non-linear C(V)

fundamental signals and will not influence C(V). Using this assumption, one can de-

rive an expression for the resonator current as a function of the resonator voltage to

determine the level of distortion products.

1(3.12)I = V -Y = V - ( + jwC(V) - ) (3.12)R wLThe relevant distortion products to consider are those that will fall into the pass-

band of the filter. Harmonics of w, will be at much higher frequencies and be fil-

tered. When two tones at closely spaced frequencies wl and w2 undergo 3rd order

non-linearity, distortion known as IM3 products will appear as tones at frequencies

2wl - w2 and 2w2 - wl. When the tone spacing is small compared to the bandwidth

of the filter, the IM3 products will appear in-band.

In the general case, one will substitute V = Asin(wt) + Asin(w2t) into eqn. (3.12)

and find the ratio between the coefficients of the fundamental currents and the IM3

currents. Since both the fundamental and IM3 frequencies are in the passband of the

filter, the actual output voltage can be calculated as the current times the impedance

at resonance, R. The ratio between fundamental and IM3 voltages can be used to

calculate the output IP3 voltage (OIP3) of the filter.

In a differential implementation, as shown in Fig. 3-2, the tank capacitance C(V)

will be an even function of the differential tank voltage. In other words, C(+A) =

C(-A) due to the symmetry of the circuit. Note that the differential capacitance

C(V) in Fig. 3-2 is the series combination of C1, C2, CV1, and CV2. Since C(V) is

an even function, only the even powers of V in eqn. (3.10) are required. We can now

substitute eqn. (3.10) and V = Asin(wit) + Asin(w2t) into eqn. (3.12). The following

equation for I can be written where we have only used the even powers of C(V) up

to 2. It is also assumed that wl W2 W-.

I1= [Asin(wJt) + jwC, + jwo C2(Asin(wit) + Asin(w2t))2]R wL

(3.13)

Near resonance, - and jwoCo, will approximately cancel. The relevant terms

from the multiplication in eqn. (3.13) for IM3 calculations are then

A A 3I = -sin(wit)+ -±sin(w2t)+ jwC 2Aa[sin(2wl - w2)t+ sin(2w2 -w i)t] (3.14)

R R 4

Given the voltage magnitude, A, of the two tones, the power ratio between the

IM3 tones and the fundamental tones is calculated to be

3woC2 RA 2IM3(dBc) = 20 * loglO C A 1 (3.15)

4

The IM3 depends on the 2nd order coefficient, C2, of the power series expansion

of C(V), and the effective resistance R of the tank at resonance. A higher tank Q will

have higher R and result in worse IM3 performance. This indicates a tradeoff between

filter selectivity and filter distortion in tunable filters. A higher C2 also causes worse

distortion. In general, reducing the tuning range of the filter will lower C2. Thus,

there is also a tradeoff between tuning range and distortion in tunable filters.

3.2.5 5.25 GHz Filter Design

A passive LC bandpass filter at 5.25 GHz was designed using Table 3.1 with qo =

1.297. The filter order is limited to a 4th order Bessel bandpass due to the Q of the

L=2.2 nH

6.3 fFI

L=2.2 nH

VCC

Vtune

Vout

Figure 3-3: LC BPF Schematic

L = 1.1 nHRs = 1.05Rp = 2.7 KC = 25 fF

Figure 3-4: Differential Inductor Lumped Element Model

on-chip inductors. A schematic of the filter is shown in Fig. 3-3. A 3-turn differential

inductor was designed and optimized for Q using the EM simulator Sonnet. Simulated

differential inductance and Q were 2.2 nH and 26 at 5.25 GHz. The metal width and

spacing was 8 pm and 4 jm, respectively. A M1 shield was placed underneath the

inductor to reduce substrate losses. The lumped element model of the inductor used

for simulation is shown in Fig. 3-4.

PN-junction varactors were used for the resonator load capacitances. The varactor

capacitance varies from 0.2 pF to 0.46 pF when the tuning voltage across the varactor

ranges from 2.2 V to 0.3 V. 1.2 pF MiM capacitors in series with the varactors

serve two purposes. First, they linearize the C-V characteristics of the varactor and

minimize distortion. Second, they allow the varactor to be configured with its cathode

IJ

V

Tank Capacitance C(V)

U-

5

Figure 3-5: Differential Tank Capacitance C(V)

at the virtual ground point of the differential resonator. The parasitic diode from n-

to substrate is then at a virtual ground, preventing it from degrading the resonator

Q. The series MiM caps do, however, reduce the filter tuning range. The filter is

designed to tune from 4.8 GHz to 5.6 GHz, corresponding to a tuning range of +/- 8

Parallel plate capacitors using the top two metal layers were utilized to implement

the small 26.3 fF coupling capacitors. Minimizing resistance in the layout connections

to the varactors and inductors was critical for maintaining a high quality factor in

the resonator.

The differential tank capacitance C(V) for the 5.25 GHz filter in Fig. 3-3 was found

through simulations that included extracted layout parasitics. The actual tuning

range with parasitics was approximately 500 MHz. Using MATLAB, C(V) at Vtune = 2

V was fit to a polynomial expression with coefficients Co = 416.06 fF and C2 = 1.1739

fF. The simulated C(V) and polynomial approximation are plotted together in Fig. 3-

5. Using eqn. (3.15) and assuming a maximum expected differential peak voltage of 0.6

V in the filter, the IM3 products are calculated to be -46.5 dBc with 0.3 V differential

output for each of the two fundamental tones. Circuit simulations in SpectreRF

showed the IM3 products to be -51 dBc for the same conditions. Simulations show

that for a larger tuning range of 1 GHz, the IM3 products increase to -25 dBc.

The tradeoff between tuning range and distortion can be alleviated by providing

an additional coarse tuning capability using switchable fixed capacitances [16]. This

allows a reduction in tuning sensitivity of the varactor which minimizes C2. Another

potential technique to improve the distortion is to use a varactor configuration that

can linearize the tank capacitance without reducing the tuning range. The work in

[17] uses a back-to-back series varactor topology to achieve this goal.

3.3 Automatic Tuning Loop

Automatic frequency tuning can be implemented by configuring a replica resonator

or the filter itself as a VCO and locking it to a separate reference frequency in a

PLL [18]. These PLL tuning systems are costly in terms of die area and circuit

complexity. This design adapts a tuning technique used in baseband filters [19] for

use at RF frequencies.

The tuning scheme takes advantage of the fact that the phase difference between

filter input and filter output is 900 at the center frequency. According to eqn. (3.4),

there is a resonant condition between L and CN at the filter center frequency, where

CN = C, + Cc. This condition can be written using admittances as

1 1w + joC = j + jwoCp + jwoCc = 0 (3.16)jwoL jwoL

The admittance of each resonator, consisting of L and C,, at the filter center

frequency is then

Yesonator = + jwoC = -jwoCc (3.17)

The impedance of each resonator at the filter center frequency is thus

Coupled Resonator Model at w

lin R

X=1/(Wo,C,)

Figure 3-6: Coupled Resonator Model

Zresonator = (3.18)

By modelling each resonator as an impedance of jX as in Fig. 3-6, where X = 1

one can derive the transfer function and the input to output phase relationship of the

coupled resonator filter at the filter center frequency.

Vout jRV = -j(3.19)V n X

Vou t Vin Vou t RX 2 j R R2 X= - x - X x - (3.20)

'in n Vn R 2 + X 2 X R 2 + X 2

From eqn. (3.19), it can be seen that the filter output will lead the filter input

by 900. As the resonator Q decreases, R 2 << X 2, and the insertion loss of the filter

will increase proportional to R2 or Q2 since Q = R

Fig. 3-7 shows a simplified block diagram of the self-tuning loop using single-ended

signals. All circuits are implemented differentially and all signals are taken differen-

tially except for the opamp output. The filter input and output are lightly coupled

through small capacitors to a high frequency phase detector. The differential outputs

of the phase detector are applied to a differential-input, single-ended-output opamp

that drives the control voltage of the varactors in the resonators. The feedback loop

forces zero differential voltage between the phase detector outputs which corresponds

Miller CompensatedOpamp

. Enable

Figure 3-7: Tuning Loop Block Diagram

to the condition of 900 phase difference between the phase detector inputs. Since the

filter will always be centered at the system LO frequency, the 5.25 GHz LO signal

driving the digital-RF converter can be used to calibrate the filter. The filter does

not need to be re-configured as an oscillator. Self-tuning avoids matching issues, and

adds minimal additional circuitry. Most importantly, the filter is calibrated in its

actual circuit implementation within the integrated digital-RF converter, including

all parasitic effects of the circuit and layout.

The tuning loop can be modelled with the block diagram shown in Fig 3-8. The

filter block is characterized by an output that represents the input-output phase

difference and an input control voltage that is driven by the opamp output. Thus, it

converts voltage to a phase difference. The phase detector block converts an input

phase difference back to a voltage. The cascade of the filter and phase detector can

thus be treated as a gain block or equivalent feedback factor 0 within the loop. The

opamp is a basic two stage Miller-compensated differential to single-ended amplifier.

It has a DC gain of 77 dB, unity-gain bandwidth WT of 2 MHz, and phase margin of

880. An additional non-dominant pole at 100 MHz is introduced at the output of the

phase detector to reduce the ripple caused by the high frequency product term at 2X

the LO frequency.

Fig. 3-9 plots the voltage-phase transfer function of the filter block and the phase-

voltage transfer function of the phase detector. The phase difference between filter

Phase Detector

Figure 3-8: Tuning Loop Model

input and output increases monotonically as Vtune increases, guaranteeing that the

feedback loop will always converge to a stable solution. The phase detector output is

positive for phase differences greater than 900 and negative for phases differences less

than 900. When the filter is mistuned, the filter output can become much smaller in

amplitude. KPD is a function of both the phase difference as well as the amplitudes

of its inputs. Thus, KPD is not linear and levels off for very high or very low phase

differences. However, as long as the polarity of the phase detector output remains

correct, it will always force the loop in the correct direction towards convergence. In

cases where the filter is initially mistuned by a large amount, the feedback factor 3

will be small and the loop may take longer to settle. For small excursions from the

900 condition, the effective feedback factor is close to 1 and the settling time can be

approximated by

1 1 1t - 0.5p-s (3.21)

W-3dB 3 WT 2e6

The phase detector circuit is based on the use of a Gilbert-cell multiplier [20]. At

high frequencies such as 5 GHz, the conventional Gilbert-cell multiplier suffers from

phase mismatches between its two unsymmetrical input ports. The mismatch arises

from a difference in effective input capacitance between the bottom port and top port.

A finite driving resistance causes a phase delay related to the RC product. If the two

ports have a phase mismatch term err,,, the multiplier will output a non-zero DC

voltage when its inputs are in quadrature. By using two Gilbert-cell multipliers with

cross-coupled inputs as in Fig. 3-7, the DC term due to the phase mismatch can be

Filter OpAmp

1 OU

S100

0• 5

0 5

A

S0.5 1 1.5 2 2.5Vtune (V)

Phase (degrees)

Figure 3-9: Filter Block and Phase Detector Transfer Functions

cancelled by summing the outputs together. This can be seen through the following

equation where a phase mismatch 0er, is assigned to one of the ports.

PDout = sin(wt)cos(wt + ,error) + sin(wt + Oerror)COS(wt)

1 1 1 1= -sin(2wt + ,error) + -sin(--error) + -sin(2wt + Oerror) + -sin(Oerror)2 2 2 2

1 1= sin(2wt + Oerror) - -sin(4error) + -sifn(4error)

2 2

= sin(2wt + Oerror) + 0 (3.22)

The circuit schematic of the phase detector is shown in Fig. 3-10. The design

cancels out any imbalance between the two input ports of the multipliers as well as

any imbalances due to layout routing. It also helps equalize the loading on the input

and output nodes of the filter.

3.3.1 Non-Idealities

After initial calibration of the filter, temperature variations can change the varactor

capacitance as well as the parasitic capacitances loading the resonator, causing a shift

-Input-Output Phase A

1C_

t0

Figure 3-10: Phase Detector Schematic

in center frequency. This shift is characterized by simulating the phase difference

between filter input and output versus frequency at various temperatures. Fig. 3-

11 plots the resulting curves for O'C, 400C, and 1000C. The filter center frequency

(where the phase difference is 900) shifts approximately +/- 10 MHz for the two

temperature extremes. For our application with an RF bandwidth of 200 MHz, the

quantization noise filtering does not degrade appreciably for such a shift.

Variations in tuning sensitivity and phase detector gain only affect the DC gain of

the feedback loop. This DC gain is designed to be quite high, 77 dB, to minimize the

impact of these sensitivities. DC offsets at the output of the phase detector and the

input of the opamp cause a finite phase error (from 90') based on the phase detector

gain when the phase detector differential output is near zero. The phase detector

transfer function in this region is plotted in Fig. 3-12. KPD is 12 mV/degree. In order

to relate DC offset to an error in filter center frequency, we also need to characterize

the transfer function between frequency and input-output phase difference of the

filter. This transfer function is plotted in Fig. 3-13 for small deviations around 90'.

.·""~ri5~G

of-

i

tcr

-PD Output

-0.1

80 85 90 95Phase (degrees)

Figure 3-12: Phase Detector Transfer Function

Figure 3-13: Filter Input-Output Phase Difference

27

Table 3.3: Filter Performance with Resonator Mismatch

Capacitance Mismatch (fF) fo fgoo Atten. at +200/-200 MHz

0 5250 MHz 5250 MHz 6.3/7 dB

20 5220 MHz 5186 MHz 6/6.9 dB

40 5190 MHz 5126 MHz 5.4/6 dB

addition, the filter center frequency will no longer correspond to the condition of 90'

phase difference between input and output. Routing lines to the filter input and out-

put must be carefully extracted and equalized during the layout phase. The loading

on filter input and output must also be equalized. In this implementation, dummy

transistor loads are placed on the output nodes to match the cascode transistors from

the DRFC that load the filter input nodes. Table 3.3 summarizes simulation data for

capacitance mismatches of 20 fF and 40 fF. For a 40 fF mismatch, f o and fgoo differ

by 64 MHz which would be unacceptable.

The automatic tuning loop adjusts the resonator center frequency to always be

equal to the system LO frequency, 5.25 GHz in this case. However, it does not

account for variations in the coupling capacitor Cc, which can impact the filter transfer

function as well. When Cc is larger than the designed value, the coupling factor is

too high, resulting in a wider filter bandwidth. When Cc is smaller than the designed

value, the coupling factor is too small, resulting in a narrower filter bandwidth. Fig. 3-

14 plots the filter transfer functions for the nominal value of Cc and for +/- 15%

variation in Co. The variation in C, results in a 1.5 dB variation in insertion loss

and a +/- 8% variation in bandwidth. The filter needs to be designed to meet the

particular system specifications with this variation in mind. In our case, we choose

a slightly lower nominal value of Cc resulting in a nominal filter bandwidth of 240

MHz instead of the original 260 MHz. The narrower bandwidth does not appreciably

affect the amplitude response of our 200 MHz signal bandwidth, but does increase

the attenuation of out-band quantization noise.

Filter Response with Variation in Cc

MV

4.4 4.6 4.8 5 5.2 5.4 5.6 5.8 6 6.2Frequency (GHz)

Figure 3-14: Filter Response

3.3.2 Digital Tuning Loop

The automatic tuning loop can be slightly modified to implement an all-digital tuning

loop. This was not implemented, but will be discussed to show how a couple simple

changes can improve the tuning loop with respect to varactor non-linearity. In Fig. 3-

7, the op-amp can be replaced with a comparator, and the analog varactor can be

replaced with a bank of digitally switchable capacitors. The output of the compara-

tor can be applied to a digital state machine, which will increment or decrement the

number of capacitors being switched in, starting from a pre-determined initial con-

dition. When the comparator output bit switches polarity, the tuning loop is locked

and the digital state machine outputs are held constant. The advantage of the digital

tuning loop is that the resonator capacitance will remain fixed as a large signal is

applied to the filter. Thus, the distortion due to non-linear varactor capacitance will

be eliminated.

i•n,2n,ldin4kT2

4kT/R

Figure 3-15: Q-enhanced Resonator Model

3.4 Q-enhancement

Passive tunable-LC filter performance is limited by the finite Q of on-chip inductors

and varactors. One solution is to enhance Q by adding a negative resistance circuit in

parallel with the LC resonator [21] [22]. A simple model of this is shown in Fig. 3-15

using a MOS cross-coupled differential pair to generate the negative resistance. The

issue with this approach is that noise and non-linearities from the active circuit limit

the achievable dynamic range as the Q-enhancement factor increases [23]. This is

particularly difficult for receive filter design where the dynamic range constraint at

the LNA is severe. For a transmit filter, the signal level is much larger. Analysis can

be done to relate dynamic range to the Q-enhancement factor and bias current of the

negative resistance circuit.

The Q and effective impedance at resonance with Q-enhancement can be found

from Fig. 3-15 as follows.

RoQo = L (3.24)

Roll - R R -R 1Qenh w ( o)( R = o( ) (3.25)wL wL & - R - R

If we define

E 1 = (3.26)R

-R

then

Renh = RoE (3.27)

Lowering R increases the Q-enhancement factor E. Since R = 2 for the cross-9m

coupled MOS pair, a larger E also implies larger gm which increases the noise power

spectral density of the MOS drain current noise sources. Thus, Q-enhancement in-

creases the noise power at the resonator nodes both through the increased Renh as

well as through an increase in gm.

The maximum linear signal swing at the resonator nodes with the negative resis-

tance circuit can be approximated as being proportional to the gate overdrive of the

MOS transistors V,1 - Vt. For short channel devices, the following equations hold

[24].

I = WVsatCox(Vgs - Vt) (3.28)

gm= WVsatCox (3.29)

I

(Vg - Vt) = (3.30)gm

Eqn. (3.30) indicates that an increase in gm must be accompanied by an increase

in current to maintain the same linear signal swing. Accordingly, the current in

the negative resistance circuit must increase as Q is enhanced to maintain constant

linearity.

Using Fig. 3-15, we can find a general expression for the approximate dynamic

range of the Q-enhanced LC filter.

MaxPowerDR = (3.31)

NoisePower

The maximum linear power at the resonator output is defined as

( v (Vg - V))2 2MaxPower 4 2Re 16g2 RE (3.32)

2R58 16gm2 oE

58

In Eqn. (3.32), a voltage swing that yields IM3 products that are < -60 dBc is

chosen as the maximum linear voltage swing. The value 1 4 (Vg, - Vt) is found from

simulations.

The noise power at the resonator output is equal to

NoisePower = in,Ro2RenhAf + n,Id2RenhAf (3.33)

4kTin,Ro2Renh =R RoE = 4kTE (3.34)Ro

2in,d 2 Renh = (2)4kTygmRoE (3.35)

NoisePower = 4kTE[1 + 2ygmRo]Af (3.36)

In eqn. (3.35) and eqn. (3.36), -7 represents the channel noise coefficient [25] that

is equal to 2/3 in long-channel devices. Measurements have shown that -, is higher

than 2/3 for short channel devices [26].

Substituting eqn. (3.32) and eqn. (3.36) into eqn. (3.31),

DR = Af (3.37)(16)4kTgm2RoE 2[1 + 2 gmRo]f (3.37)Using Eqn. (3.37), one can calculate the required current I vs. enhancement factor

E, given an initial Qo and a desired dynamic range. Table 3.4 lists the required I, gm,

and V,1 - I% for a cross-coupled pair negative resistance circuit assuming an initial

Qo of 20, a, noise bandwidth of 200 MHz, -y = 2, and a dynamic range requirement

of 60 dB. Also, a center frequency of 5.25 GHz and a. 2.2 nH differential inductance

in the resonator is assumed. According to Table 3.4, a Q-enhancement factor of

2 is achievable with a total current of 1.7 mA, yielding a resonator Q of 40. For

enhancement factors greater than 2, voltage headroom becomes an issue due to the

high required V,, - Vt to maintain a dynamic range > 60 dB. The corresponding

currents also become quite large given that each resonator requires its own negative

resistance circuit.

Table 3.4: Current vs. Q-enhancement for DR=60 dB over 200 MHz BW

E g (nmS) V, - Vt I(mA)

1.1 0.125 0.4 0.05

1.2 0.23 0.5 0.121.3 0.32 0.6 0.191.4 0.39 0.7 0.28

1.5 0.46 0.8 0.37

1.6 0.52 0.89 0.46

1.7 0.57 0.98 0.55

1.8 0.61 1.065 0.65

1.9 0.65 1.15 0.75

2 0.69 1.24 0.85

2.5 0.83 1.67 1.4

3 0.92 2.09 1.9

3.5 0.985 2.51 2.5

4 1.03 2.93 3

4.5 1.07 3.35 3.6

5 1.1 3.77 4.16

VCC

II

Figure 3-16: Simplified Test Filter Schematic

The negative resistance circuit based on a cross-coupled pair can be biased with

a constant-gm current [27], making the negative resistance fairly stable over process

and temperature. For moderate Q-enhancement factors, the Q-enhanced resonator

will not oscillate. By factoring the expected Q variation of the resonator into the

filter design, it is likely that no explicit Q-tuning loop will be required.

3.5 Test Filter Measurements

The performance of the filter and automatic tuning loop was verified using an on-

wafer probe test structure. Broadband on-chip buffers resistively matched to 50 ohms

were used at the input and output ports to interface to the filter. The test filter was

driven in current-mode, in the same way it would be used in the actual RF modulator

system. A simplified circuit schematic is shown in Fig. 3-16. A die photo of the test

filter is shown in Fig. 3-17. Two versions of the test filter were fabricated, one without

Q-enhancement and one with Q-enhancement.

Results from the test filter without Q-enhancement are shown in Fig. 3-18 and

Fig. 3-19. In Fig. 3-18, the tuning voltage to the varactors is manually adjusted and

the resulting filter responses are plotted. The filter tunes from 4.8 GHz to 5.4 GHz.

?UT

Figure 3-17: Test Filter Die Photo

The ideal response, assuming a resonator Q of 26, is plotted alongside the measured

response centered at 5.2 GHz. In Fig. 3-19, tuning curves are plotted both for manual

tuning and automatic tuning. In the case of automatic tuning, the input frequency

to the filter is varied and the resulting tune voltage is read out. The two curves track

fairly closely, but have an offset. Through parasitic RC extracted simulations, it was

found that this offset was due to a 20 fF difference in differential capacitance between

the two resonators (equivalent to 40 fF single-ended) as a result of unequal loading in

the layout. The resonator mismatch causes a shift between the filter center frequency

and the frequency at which the input-output phase difference is 900 of 60 MHz,

according to Table 3.3. This shift agrees well with the measurements.

In Fig. 3-18, the measured response at 5.2 GHz does not achieve the attenuation

of the ideal response. Two mechanisms account for the deviation. First, the resonator

mismatch degrades the filter attenuation by approximately 1 dB. Second, losses in the

varactor and routing cause a degradation in resonator Q. As a result, the measured -3

Measured Filter Response Tuning Curves

Frequency (GHz)

Figure 3-18: Filter Response vs. Vtune

Filter Center Frequency

Vtune (V)

Figure 3-19: Automatic vs. Manual Tuning

N-

Q-enhanced Filter Response

me0

Frequency (GHz)

Figure 3-20: Q-enhanced Filter Response Tuning Curves

dB filter bandwidth is 280 MHz, wider than the targeted 240 MHz bandwidth. The

measured response at 5.2 GHz correlates with a resonator Q of 16. In simulation,

resonator Q due to the inductors alone is 26. Resonator Q including the varactor loss

is 20. The remaining degradation in Q is attributed to metal losses in the layout.

Results from the test filter with Q-enhancement are shown .in Fig. 3-20 and Fig. 3-

21. A Q-enhancement factor of 1.8 was designed using 1.5 mA current in each cross-

coupled differential pair. The chosen enhancement factor was based on an initial Q

of 16. In this version, the resonator mismatch due to layout mismatches was fixed,

resulting in good agreement between the manual and automatic tuning curves as

shown in Fig. 3-21. Due to the absence of resonator mismatch and the enhanced

resonator Q of 29, the measured filter responses were much sharper than the version

without Q-enhancement as seen in Fig. 3-22. The Q-enhanced filter has a -3 dB

bandwidth of 210 MHz and approximately 14 dB attenuation at +/- 300 MHz offsets.

Measured and simulated filter response at 5.2 GHz is plotted in Fig. 3-23, showing

good agreement.

Filter Center Frequency vs. Vtune

5Vtune (V)

Figure 3-21: Automatic vs. Manual Tuning, Q-enhanced version

Measured Filter Response at 5.2 GHz

Figure 3-22: Measured Filter with and without Q-enhancement

Q-enhanced Filter Response at 5.2 GHz

mVr

4 4.5 5 5.5 bFrequency (GHz) x 109

Figure 3-23: Q-enhanced Filter : Measured vs. Simulated

3.6 Summary

The design of a 5.25 GHz 4th order high-Q LC BPF using differential coupled res-

onators has been presented. A self-tuning loop automatically calibrates the filter

response to be centered at the desired LO frequency of 5.25 GHz. An equation relat-

ing the IM3 due to the non-linear varactor capacitance of the tunable filter has been

derived. Q-enhancement is effective in maintaining a high resonator Q after account-

ing for losses in the varactor and layout. An equation relating the dynamic range of

the filter vs. the Q-enhancement factor and bias current of the negative resistance

circuit is derived. A passive LC filter and a Q-enhanced LC filter achieve measured

3 dB bandwidths of 280 MHz and 210 MHz respectively. Resonator mismatch due to

parasitic capacitances causes an error in the automatic tuning loop as well as a degra-

dation in the filter's stopband attenuation. Careful layout with respect to extraction

of parasitics and minimizing metal losses is essential to optimizing filter performance.

The successful design of the filter enables a practical integrated realization of a AE

digital-RF modulator for wideband applications.

Chapter 4

AE System Architecture

In designing the AE RF modulator, the oversampling clock frequency and AE NTF

must be carefully chosen to maximize the in-band SNR, minimize out-of-band spu-

rious signals, and prevent aliasing of clock images and quantization noise. These

choices are dependent upon the system LO frequency, system bandwidth, as well as

the achievable RF bandpass filtering.

4.1 Choosing Clock Frequency

The IQ digital-RF converter circuit was shown in Fig. 2-5. An equivalent functional

block diagram is shown in Fig. 4-1. The I and Q AE modulator outputs contain the

digital signal plus quantization noise that is shaped outside the signal band, reaching

AL Digital-RF Modulator.......................

QDRFC

Figure 4-1: AE Digital-RF Modulator

I' -

I 1 ·\I I II

-3fclk/2 -fclk -fclk/2 0 fclk/2 fclk 3fclk/2

Figure 4-2: AE Modulator Output Spectrum

a maximum at f-k. The frequency spectrum repeats itself at multiples of flk as

shown in Fig. 4-2. Clock images associated with the signal occur at

(n * fclk) fsig, n = ... - 3, - 2 , -1, 1, 2, 3 ,... (4.1)

The DRFC performs multiplication of the sampled and held AE modulator output

and the RF carrier signal. In the frequency domain, this corresponds to a convolution

of the frequency spectra of the respective signals, as depicted in Fig. 4-3 for DC

inputs. In digital-RF conversion, the consequence of up-converting the quantization

noise before filtering is that potential aliasing of quantization noise and sampling clock

images can occur. Quantization noise and clock images from the convolution with

-fLO spill into the positive frequency spectrum and can corrupt the signal spectrum

centered at fLO. Likewise, noise and images from the convolution with fLO spills into

the negative frequency spectrum. The only filtering that occurs before the convolution

is the sinc response associated with the zero-order-hold in the digital-RF interface.

Two problems result:

1. Aliased quantization noise can degrade the in-band SNR of the signal.

2. Aliased clock images will appear as an image signal in the RF passband, de-

grading the achievable image rejection of the transmitter.

In order to prevent the first problem, the following condition must be met between

fclk and fLo,n * fclk

fLO = , n = 1, 2,3,... (4.2)2

Now, only quantization noise notches will alias into the RF passband, having neg-

ligible impact on in-band SNR. This scenario is depicted in Fig. 4-4 with n = 4 in

1 ~11 d

DATA (f) LO (f)

-fCLK 0 fCLK -fLo 0 fLO

-fLO 0 fLo

Figure 4-3: Aliasing Problem in Up-Conversion

eqn. (4.2).

Although the digital-RF converter circuit is a double-balanced structure, device

mismatches in the lower differential pair can cause leakage from the digital input port

to the output. Referring to Fig. 4-2, it can be seen that large amounts of quantization

noise in the digital input signal appear at odd multiples of f. This noise can leak to

the output and corrupt the signal spectrum when fLo is chosen to be an odd multiple

of fk . In order to prevent this, Eqn. (4.2) should be modified to

fLo = n *fclk, n = 1,2,3,... (4.3)

Given a system LO frequency, the clock frequency is then chosen as

fLofclk - n=1,2,3,... (4.4)

There is still the issue of clock images aliasing into the RF passband. The quadra-

ture DRFC is ideally a single-sideband upconverter. However, the clock images from

the negative frequency spectrum will appear in the RF passband of the positive fre-

quency spectrum as another sideband, and vice-versa. As a result, the converter will

have finite image rejection.

The clock images and quantization noise of the digital signal are filtered by the

zero-order-hold transfer function H(f).

DATA (f) LO (f)

-fCLK 0 fCL, -fL to

-fLO 6 f

Figure 4-4: No Aliasing with fLO = 2fclk

H(f) = e- j fT s i n c ( (4.5)fclk

The normalized magnitude of H(f) is plotted in Fig. 4-5 with fclk = 2.5 GHz.

The sinc function has nulls at integer multiples of the clock frequency. For a large

over-sampling ratio (OSR), the signal frequency f is small relative to fclk. The clock

images lie near the nulls and are heavily attenuated. As the OSR becomes smaller,

the clock images are located farther away from the nulls and undergo less attenuation.

For larger n in eqn. (4.2), the RF passbands in the positive and negative frequency

spectrum are farther away from each other. Since the sinc function slowly rolls off

as f increases, larger n results in more filtering of the aliasing clock images. Fig. 4-6

plots the level of the maximum in-band aliased clock image with respect to the desired

sideband for n = 1, 2, 3. For n = 2, the image is < -40 dBc when the OSR is > 12.

In order to maximize the image rejection, a high OSR and large n should be used.

The finite image rejection, however, is correctable. Since the signal is known

and the sinc transfer function is known, the magnitude and phase of the aliasing

clock images are known as well. This image signal is not caused by random gain

or phase variations but rather by the signal processing of our architecture itself. We

can purposely construct a signal in our system with the same magnitude but opposite

phase of the image signal to cancel it. Because the image signal is small, the increased

IH(f)12 : Ideal Zero Order Hold

Frequency (GHz)

Figure 4-5: Normalized Magnitude of Zero-Order Hold Frequency Response

In-Band Clock Image vs. OSR

OSR

Figure 4-6: Image Rejection vs. OSR

dynamic range necessary to accomodate the cancellation signal is minimal. Since the

I and Q input signals are digital, this solution is a form of digital pre-distortion and

involves no analog design.

4.2 Co-Design of AE NTF and RF BPF

The noise-shaping transfer function of a AE modulator depends on its oversampling

ratio (OSR). In a AE RF modulator, an upper bound on OSR can be related to the

Q of the RF BPF.

The Q of the bandpass filter elements is limited by Qind and related to the system

center frequency, fo, and RF bandwidth, BW, through

Qind > AO = fLO < Qind * BW (4.6)BW

Meanwhile, the OSR is related to the oversampling clock frequency, fclk, and RF

bandwidth, BW, through

fclk = OSR * BW. (4.7)

Expressing fdlk in terms of fLO in eqn. (4.7) using eqn. (4.4), and then substituting

into eqn. (4.6), we can find a relation between OSR and Qind.

OSR < , n = 1, 2,3,... (4.8)n

In eqn. (4.8), n is the ratio between fLo and fclk. The upper bound on OSR

limits the modulator SNR for a given NTF, quantizer resolution, and clock frequency.

Intuitively, the inductor Q limits how narrow a bandwidth can be filtered at high RF

frequencies. A narrower bandwidth allows the OSR to be higher for a given clock

frequency, increasing the achievable in-band SNR. Conversely, a wider bandwidth is

easier to filter at RF frequencies but results in a lower OSR.

The OSR is constrained to be low by eqn. (4.8) and the need to avoid an exces-

sively high clock frequency. Using n larger than 1 in eqn. (4.8) reduces the OSR but

also reduces the clock frequency. This tradeoff may be worthwhile when the clock

SNR vs. Loop Filter Order'U

80

70

60

50

40

30

On2 3 4

Order of Loop Filter

Figure 4-7: SNR (dB) vs. Loop Filter Order for various OSR

frequency pushes the performance limits of the technology. Qind in current technolo-

gies ranges from 10-25, depending on the top level metal's resistance and distance to

the substrate.

Given the low OSR, the AE modulator must be designed to meet the in-band

SNR and out-of-band noise specifications of the system. The out-of-band noise at the

output of the RF modulator is also a function of the RF bandpass filter characteristics

and links the modulator design and RF filter design together.

A 2nd order, 1-bit modulator is an ideal modulator choice due to its inherent

linearity and stability. For low OSR in the range of 10-16, a 2nd order, 1-bit modulator

is limited to an SNR of around 40 dB [28]. It has been shown that the effectiveness of

increasing the order of noise shaping is significantly diminished as the over-sampling

ratio is reduced [29]. In addition, higher order single-bit modulators require the use

of poles in their NTF to maintain stability, which limits the SNR. The location of the

zeros must be optimized to recover some of the loss in SNR [28].

Fig. 4-7 plots the optimized SNR vs. order for 1-bit modulators at various OSR.

In general, the improvement of SNR with higher order decreases as the order is

- -- OSR=8-OSR=16

OSR=32

:c_ _, , , .....- ---------.

I-

m

3.b 4 4.5 b 5.5b 6.5 7Frequency (GHz)

Figure 4-8: RF Output Spectrum using 3rd order, 1-bit AE Modulator

increased. For low OSR, the effect is more dramatic and very little gain in SNR is

achieved for higher order. The use of cascaded lower order modulators in a MASH

topology [30] can alleviate the stability issue and provide higher SNR, but entails

stringent matching requirements between the outputs of the cascaded stages.

The use of a high order 1-bit modulator also significantly increases the amount

of out-of-band quantization noise that must be filtered at RF. Higher order noise

shaping increases the slope at which the out-of-band quantization noise rises, and a

single-bit quantizer increases the magnitude of the quantization noise in comparison

to a multi-bit quantizer.

Fig. 4-8 and Fig. 4-9 plot the output spectrum of a AE RF modulator using a

3rd order, 1-bit modulator and a 2nd order, 3-bit modulator respectively, before and

after filtering with a 4th order Bessel RF BPF with 260 MHz bandwidth. The RF

output is centered at 5.25 GHz with a signal bandwidth of 200 MHz. The OSR of the

modulators is ~ 13 with a clock frequency of 2.625 GS/s. In this simulation, the 3rd

order, 1-bit modulator uses a 1-2 MASH topology and has 50 dB SNR in the 200 MHz

signal bandwidth. This modulator exhibits very high out-of-band quantization noise.

Filter Requirements

Ve

3.b 4 4.5 5 5.5 6 6.5 IFrequency (GHz)

Figure 4-9: RF Output Spectrum using 2nd order, 3-bit AE Modulator

In contrast, the 2nd order, 3-bit modulator has 52 dB in-band SNR and much lower

out-of-band quantization noise, allowing it to pass the spurious emission requirements

outside the 5.15-5.35 GHz UN-II band.

The spurious emission limits shown in Fig. 4-9 are derived from requirements

specified by the FCC for operation in the UN-II band [31]. Accordingly, spurious

emissions must be below -27 dBm/MHz outside the 5.15-5.35 GHz UN-II band. The

limits drawn assume a maximum power of +20 dBm and a PAPR of 16 dB for the final

transmit signal out the antenna. The spectral density (dBm/MHz) of the spurious

emissions must be 47 dB below the RF output signal power. 16 dB is added to

account for the PAPR, giving 63 dB. In Fig. 4-9, the output signal is a pure sine

wave with PAPR of 3 dB and its power is normalized to 0 dB. It then follows that

the spurious emissions limits are -60 dBc/MHz.

Fig. 4-8 and Fig. 4-9 highlight the importance of co-designing the AE modulator

and RF BPF together at the system level. Since the RF BPF has the most difficult

specifications, the choice of a lower order, multi-bit AE modulator alleviates the RF

filtering requirements and enables full integration of the direct RF modulator. This

Table 4.1: Simulated AE SNR with OSR=13

Loop Filter Quantizer SNR Matching RF Filtering

Order Bits Requirements (a) Requirements

2nd 1 37 dB None Difficult

4th 1 47 dB None Very Difficult

3 rd (1-2 MASH) 1 50 dB - 0.5 % Very Difficult

2 nd 3 52 dB , 1 % Moderate

choice also means that attention must be paid to mismatches between the digital-RF

converter unit cells, which can introduce distortion and degrade the dynamic range.

The matching requirements and design issues of a multi-bit digital-RF interface will

be discussed further in Chapter 7.

For our OFDM system with center frequency 5.25 GHz and RF bandwidth of 200

MHz, n is chosen to be 2 in eqn. (4.4) so that fclk = 2.625 GS/s and OSR - 13.

Choosing n = 1 would allow a higher OSR but result in folk = 5.25 GS/s, which may

not be practical in current technology. Table 4.1 lists several AE topologies and their

simulated SNR with OSR = 13. The 1-bit topologies all use optimized zero locations

[32]. Matching requirements to maintain the SNR of the AE modulator are based

on Monte Carlo simulations in MATLAB using random mismatches with variance

a between unit elements. The results show that the 2nd order, 3-bit modulator

maximizes the in-band SNR and also relaxes the RF filtering requirements.

4.3 Comparison to Oversampling with No Noise-

Shaping

An alternative to the AE modulator approach is to drive the quadrature DRFC with

oversampled digital data with no noise shaping. This method increases the power

and area of the DRFC since a large number of unit cells will be required to interface

to the full bit width of the digital I,Q data (- 9-10 bits). The larger area also makes

it harder to match the timing of the clock and data signals over all the unit cells in

Table 4.2: Clock Image Attenuation vs. Clock Frequency for 200 MHz RF BW

fclk Frequency Offset of Sinc RF BPF Total

Closet Clock Image Atten. (dB) Atten. (dB) Atten. (dB)

625 MHz 525 MHz 15 19 34

1.25 GHz 1.15 GHz 21 30 51

2.5 GHz 2.4 GHz 28 40 68

the layout.

With no noise-shaping, the RF filtering in the DRFC must attenuate the clock

images of the up-converted digital spectrum rather than shaped quantization noise.

Again, increasing the clock frequency pushes the clock images farther away from the

main signal and relaxes the filtering requirements. However, this also increases the

power consumption and timing requirements of the digital-RF interface. It is useful

to find the clock frequency that results in all clock images < -50 dBc, assuming the

same RF BPF and bandwidth used in the AE design. Table 4.2 lists the attenuation

of the closest clock image for various flk from both the sinc filtering and the RF

bandpass filtering.

In order to suppress the clock images by 50 dB, a minimum clock frequency of

1.25 GHz is required. The difference with the AE modulator approach is that the

quadrature DRFC will have more unit cells but can be clocked at approximately half

the speed. When using thermometer decoding, a much larger decoder running at half

the clock speed will have to be designed compared to the AE case.

4.4 UWB System Example

UWB is an emerging short-range, high data rate system. The proposed channel

bandwidth for UWB is 528 MHz, with channels occupying frequencies between 3.1

and 10.6 GHz [33]. Each channel uses 128 OFDM sub-carriers and the targeted EVM

is -20 dB [33]. Assuming a PAPR of - 15 dB, an SNR of 35 dB is required.

A AE digital-RF modulator with 500 MHz bandwidth can be used to provide the

Table 4.3: UWB System Example (Band 1, Channel 2 at 3.96 GHz)

LO Frequency 3.96 GHz

Clock Frequency 3.96 GHz

Order of AE NTF 2nd

Quantizer Resolution 3

BPF Center Frequency 3.96 GHz

BPF BW 500 MHz

BPF Type Butterworth

BPF Order 3

BPF Q Requirement 23

Simulated In-Band SNR (500 MHz BW) 40 dB

-After Filter---Before Filter....... Filter Response

2.5 3 3.5 4 4.5 5 5.5Frequency (GHz)

Figure 4-10: UWB Output Spectrum using System Parameters from Table 4.3

targeted SNR of 35 dB. As an example, Table 4.3 summarizes the system parame-

ters for transmitting a UWB channel centered at 3.96 GHz. The simulated output

spectrum is plotted in Fig. 4-10. The simulated SNR over the 500 MHz channel

bandwidth was 40 dB.

4.5 Summary

In AE digital-RF modulation, the LO frequency should be an integer multiple of

the AE clock frequency to avoid aliasing of quantization noise into the signal pass-

band after RF up-conversion. Image signals appearing in the RF passband can be

eliminated through digital pre-distortion.

It is found that the OSR of the AE modulator is limited to be less than the Q of the

RF BPF. Minimizing the out-of-band quantization noise of the AE modulator helps

relax the difficult RF filtering requirements. A low order multi-bit AE modulator is

effective in achieving a high in-band SNR at low OSR, while also minimizing out-of-

band quantization noise. A 2nd order, 3-bit AE modulator is designed with a clock

frequency of 2.5 GHz. The modulator achieves greater than 50 dB SQNR in a 200

MHz bandwidth.

Chapter 5

Quadrature Digital-IF AE

Modulator

5.1 Digital-IF

The AE RF modulator, as shown in Fig. 4-1, is a direct conversion transmitter. LO

feedthrough due to offset voltages in the current-steering switches or coupling from

the LO circuits will appear at the center of the RF output spectrum. Although the

digital I,Q baseband signals will be in perfect quadrature, image rejection will be

limited by the gain and phase matching of the 5.25 GHz quadrature LO signals. The

accuracy is dependent upon device mismatches and careful matching of the layout. In

order to ensure adequate image rejection over process and temperature, a calibration

scheme is often used to correct for the I,Q imbalances.

An indirect conversion transmitter first translates the baseband spectrum to an

IF frequency before subsequent up-conversion to the RF output frequency. The LO

frequency used in the final up-conversion is no longer located at the center of the

RF output spectrum. Finite image rejection in the RF up-converter results in an

image signal that is separated from the RF output frequency by 2 x the IF frequency

and does not degrade the output signal's EVM. However, although the baseband-IF

modulator is at a lower frequency and easier to design, it will itself still have finite LO

and image suppresion appearing in the passband of the IF signal. The baseband-IF

I

Q

DIGITAL LO

Figure 5-1: Digital-IF AE RF Modulator

modulator also adds analog design complexity, power consumption, and area to the

transmitter design.

A solution is to implement the baseband-IF modulator in the digital domain.

A quadrature digital mixer that up-converts the digital baseband signal to an IF

frequency will have infinite image rejection and LO suppression. When the digital-IF

signal is applied to the digital-RF converter, the LO feedthrough and image will be

separated from the RF output by fIF and 2 x fIF respectively. If the IF frequency

is chosen high enough, both signals will be additionally filtered by the RF BPF. The

advantages of an indirect conversion transmitter are enabled without the drawbacks

of implementing an analog IF modulator.

Fig. 5-1 shows a block diagram of a digital-IF AE RF modulator. Note that

quadrature phases of the LO frequency are not required and the quadrature DRFC

is replaced by a single DRFC.

5.2 Quadrature Digital-IF

We have seen how the AE RF modulator architecture is more amenable to wide-

band systems due to the inherent difficulties of narrowband RF filtering. The wide

bandwidths processed by the AE digital modulators require a high clock frequency.

Digital multipliers operating at GS/s clock frequencies result in high power consump-

tion. They also require bit precisions equivalent to the dynamic range of the system.

This is a drawback since the 3-bit digital output words from the AE modulators

---------------------------------'~~

would turn back into > 10-bit wide words at the output of the digital mixers. The

digital-RF interface of the DRFC would then be 10-bits wide and consume more

power and area as well.

By choosing the IF frequency to be cik, one can implement a multiplier-free

quadrature modulation and eliminate the power consumption of the high speed digital

mixer [34]. Quadrature digital sines and cosines at 41k only have values of 1, -1, or 0.

sin( 2 nfifF) = sin( 7) = 0, 1, 0, 1,... (5.1)fclk 2

cos( nfIF) = cos( ) = 1,0,-1, 0,... (5.2)fclk 2

Because one of the quadrature digital sine-waves is always 0 when the other is non-

zero, the IF mixer output is alternately equal to +/- I or +/- Q. Digital quadrature

modulation at fck can be implemented using only multiplexors and inverters.

There is an aliasing issue when implementing digital quadrature modulation at fclk4

with a AE modulator. The digital output of the AE modulator is not band-limited

and has a large amount of high frequency quantization noise at Lf=&. Quadrature up-

conversion to 4/ means that one copy of the digital spectrum is placed at -- and

another at + fc as shown in Fig. 5-2. Large amounts of quantization noise originating

from the spectrum centered at - fc will alias into the signal centered at + f,, and

vice-versa, corrupting the SNR of the digital-IF signal.

In order to eliminate this aliasing, the digital spectrum centered at - fc must

not be up-converted. This can be accomplished through a complex mixing operation

using quadrature phases of both the digital-IF and LO signals. The quadrature

digital-IF is implemented using two sets of quadrature IF up-converters in the digital

domain. The complex mixing is completed in the quadrature DRFC block where the

aliasing spectrum rejection is limited by the quadrature accuracy of the LO signals.

The complete system is shown in Fig. 5-3, where the LO frequency is now equal to

fRF ± fIF-

A quadrature digital-IF DRFC will produce an output spectrum that does not

have any in-band LO or image signals. Since fIF = , the digital-IF frequency

DATA (f)

-fCLK 0 fCLK

IF (f)

-fCLK 0 fCLK

4 4

Figure 5-2: Aliasing when fIF =fCLK

C os, ncos

Q

SI .Jl | I AI -cos (TV,-) I

Figure 5-3: Quadrature Digital-IF AE RF Modulator

m

-•LM C·LR

SNR due to Phase Error with Digital-IF

m"O

Phase Error (degrees)

Figure 5-4: SNR vs. LO Phase Error for Quadrature Digital-IF

in the wideband modulator is fairly high and - 650 MHz for our system. The LO

and image signals are thus far away from the desired output and will be strongly

attenuated by the RF BPF at the output of the DRFC.

Finite gain and phase matching of the LO signals causes out-of-band quantization

noise from the digital-IF rejected sideband to leak into the RF passband and degrade

SNR. Increasing the number of bits in the quantizer of the AE modulator will reduce

the level of out-of-band quantization noise and reduce the sensitivity of SNR to noise

aliasing. Simulations of the system in Fig. 5-3 are run in MATLAB to benchmark

the degradation in SNR due to quadrature LO phase inaccuracies when using a 2nd

order, 3-bit AE modulator. The results are plotted in Fig. 5-4. The SNR remains

above 50 dB for LO phase errors less than 1.20. The equivalent image rejection for a

direct quadrature modulator with the same LO phase error is 40 dB.

Similar to the conventional direct up-conversion DRFC, clock images originating

from the digital-IF spectrum centered at -fLo can alias into the passband of the

positive frequency spectrum and vice-versa. In the digital-IF case, the clock images

are not filtered as much by the zero-order-hold of the digital-RF interface since they

f IF = (1/4)fCLK

DIGITAL CLK LO

Figure 5-5: Digital-IF Bandpass AE Modulator

are now located at frequencies fIF away from the nulls of the sinc function. Because

the sinc function rolls off slowly, the filtering is moderate and digital pre-distortion

is required to reduce the clock images to acceptable levels. Again, since the clock

image is known and due to the signal processing of the architecture itself, it can reli-

ably be cancelled with digital pre-distortion independent of process and temperature

variations.

One key benefit arising from embedding the baseband-IF translation in the digital

domain is that the transmitter can be easily switched from a digital-IF architecture

back to a direct conversion architecture. The two architectures can be digitally se-

lectable by either passing the AE modulator outputs through the digital-IF quadra-

ture modulation stage, or bypassing the stage and using the AE outputs directly.

Because the IF frequency is at f-k, the digital-IF outputs remain 3 bits wide.

5.2.1 Bandpass AE

Another approach is to implement the digital-IF up-converter first, and then apply the

IF signal to a bandpass AE modulator centered at L. The bandpass AE architecture

is shown in Fig. 5-5. The advantage of this approach is that because digital-IF up-

conversion is performed before AE modulation, aliasing of AE noise is avoided and

quadrature digital-IF outputs are not required. Bandpass AE modulation could have

been used, but was not chosen in this work because the digital implementation of a

bandpass AE modulator is more complex than a lowpass AE modulator. For a N-

order NTF. the required order of the bandpass modulator is 2N compared to N for a

lowpass modulator. Due to the stringent timing requirements in the digital circuits of

the modulator (which will be discussed in Chapter 6), the lowpass AE approach was

chosen to minimize digital circuit complexity and power, and ensure first-pass silicon

success. For future work, bandpass AE modulation is an attractive architecture to

explore especially as technology scales.

5.3 Frequency Planning

The following equations relate the IF, clock, and LO frequencies given a desired RF

output frequency.

fI =ck (5.3)4

fLo = fRF ± fIF = fRF ± f-• (5.4)

In order to avoid aliasing in the digital-RF conversion process, fRF should be an

integer multiple of folk. If fRF = 2 * fclk = 5.25GHz, then

2.625GHzfLO = 5.25GHz + = 5.90625GHz/4.59375GHz (5.5)4

The required fLO and fclk can be generated using a single PLL with output fre-

quency at 5.25 GHz. The PLL output can be divided by 2 to generate fclk at 2.625

GHz. This signal can be further divided by 4 and single-sideband mixed with the orig-

inal PLL output at 5.25 GHz to generate fLO at either the upper or lower sideband.

A block diagram of this frequency generation scheme is shown in Fig. 5-6.

One of the drawbacks of this frequency plan is the presence of spurious energy at

5.25 GHz. Parasitic coupling from the VCO, PLL, and LO circuits to the RF output

can cause undesired LO leakage at 5.25 GHz. The high speed digital circuits clocking

at 2.625 GHz can also contribute via the 2nd harmonic of the rail-to-rail clock signal.

In order to prevent the spur at 5.25 GHz, the PLL output frequency should be

equal to the LO frequency rather than the RF output frequency. Then, any coupling

Figure 5-6: Single PLL LO Generation for Digital-IF Architecture

from the VCO and PLL will only cause a tone at fRF ± fIF. In addition, the clock

frequency for the AE modulator should be offset from LRE while minimizing degra-

dation of SNR due to aliasing. For example, the choice of fclk = 2.4 GHz sets fIF =

600 MHz and fLo = 5.85 GHz. In this approach, two PLLs would be required with

output frequencies of 5.85 GHz and 2.4 GHz, respectively. Spurious tones may exist

at 5.85 GHz, 2.4 GHz, and 4.8 GHz, but will all be far away from the RF passband

centered at 5.25 GHz. Since fLo is no longer an integer multiple of fclk, violating

the condition set forth in eqn. (4.2), quantization noise will alias from the digital-IF

spectrum centered at -fLO into the RF passband in the positive frequency spectrum

and vice versa. The amount of aliasing depends on the magnitude of the quantization

noise appearing at ± 5.25 GHz, and the level of filtering provided by the frequency re-

sponse of the zero order hold. Assuming an ideal zero order hold, a system simulation

of Fig. 5-3 with fLo = 5.85 GHz and fclk = 2.4 GHz shows that the aliasing causes

a degraded SNR of 38 dB compared to the ideal value of 55 dB when fdlk = 2

This appears to prevent the digital-IF architecture with no spurious energy at

fRF from being feasible. In an actual circuit implementation, however, the zero order

hold in the digital-RF interface is not ideal due to finite rise and fall times of the

clock signal. The rectangular pulse impulse response of the zero order hold assumes

infinitely fast clock edges. When considering the actual rise and fall times of the clock

signal, the impulse response looks like a trapezoidal pulse. The two impulse responses

are compared in Fig. 5-7.

1

0.8

0.6

0.4

0.2

03

Zero Order Hold

-trt -0

-3,O 0 200 400 600 800Time (ps)

Figure 5-7: Zero Order Hold Impulse Response

The frequency response of the trapezoidal pulse with sampling period T and

rise/fall time T is derived as

1 1Htrap(f) (f)2 [sin(rfT)si(in(fT)] = sinc(fT) sinc(fT) (5.6)

Htrap(f) equals the multiplication of two sinc functions. The first sinc function has

nulls at multiples of fclk similar to the ideal zero order hold. The second sinc function

has nulls at multiples of I and adds additional attenuation at higher frequencies. The

difference in filtering is shown in Fig. 5-8, which compares the frequency responses

of the rectangular pulse with infinite rise/fall times and the trapezoidal pulse with

rise/fall time of 75 ps.

In the quadrature digital-IF architecture, we are interested in the attenuation

provided at around ± 11 GHz since -fRF and fRF are separated by 10.5 GHz.

According to Fig. 5-8, the realistic trapezoidal impulse response provides > 15 dB

additional attenuation in the frequency range of interest. As a result, the simulated

SNR that was limited to 38 dB by aliased quantization noise can be expected to

improve by > 15 dB to 53 dB.

II II :

I .· I - - ·,I II II III

.I

IIIIr-II

-- r,rf = sDPSi-.-..

I

t

I • t

I

IH(f)I2 : Zero Order Hold

Frequency (GHz)

Figure 5-8: Frequency Response of Zero Order Hold

With this in mind, it is expected that in practice, fclk can be offset from IRf

in the quadrature digital-IF AE modulator without substantial degradation in SNR.

By doing so, we can eliminate spurious energy at fRF from the RF modulator out-

put spectrum. The architecture then approaches the performance of an ideal trans-

mitter where the RF output spectrum contains only the desired signal with no LO

feedthrough and no image signal.

With this frequency scheme, two PLLs are required to generate fLo and fclk. The

2nd PLL can be eliminated by utilizing dividers and a mixer to generate fclk from

fLO through the following equation.

fLo fLOfclk = f L + (5.7)

2 DIVIDE

In addition, fLO is related to fRF and fclk through eqn. (5.4). DIVIDE is a

design variable that needs to be chosen.

Table 5.1 lists the resulting LO, clock, and IF frequencies for two different divide

values and fLO < fRF-

The divide value of 8 is preferable because both fLo and 2 * fclk are farther away

Table 5.1: LO, Clock, and IF frequencies for DIVIDE = 8 or 16

DIVIDE fLO fclk fIF

8 4.54 GHz 2.84 GHz 709 MHz

16 4.603 GHz 2.589 GHz 647 MHz

LO I

fCLK

84 GHz

Figure 5-9: Single PLL LO and CLK generation avoiding spurs at 5.25 GHz

from the RF passband centered at 5.25 GHz. It requires a higher clock frequency

but also provides a higher OSR. With this choice, the IF frequency is 709 MHz and

fclk is 2.84 GHz. An LO frequency of 4.54 GHz will result in the digital-IF signal

being converted to the final RF output frequency at 5.25 GHz. The block diagram

implementing this choice of fLO and fCLK for DIVIDE = 8 is shown in Fig. 5-9.

5.4 Summary

A quadrature AE digital-IF topology eliminates in-band LO feedthrough and image

spurs, and allows an IF frequency of flk to be chosen without causing aliasing of

quantization noise. This choice of IF greatly simplifies the digital implementation.

The transmitter can be digitally selectable between direct modulation and indirect IF

modulation. The IF architecture requires a non-integer relationship between fLo and

fclk. The influence of finite switching time on the frequency response of a zero-order

hold is analyzed, and the results explains why the non-integer relationship does not

cause a substantial degradation in SNR performance. Methods to derive the necessary

LO and clock frequencies from a single PLL are given.

Chapter 6

Digital Circuit Design

6.1 Low Power Design Challenges

The wideband An RF modulator relies on a high speed digital AE modulator to

achieve high dynamic range at reduced digital bit widths over a wide signal band-

width. Reducing the number of bits in the digital signal lowers the number of unit

cells required in the high frequency digital-RF converter, saving power and area. A

high clock frequency is important for two reasons. First, it pushes clock images and

AE quantization noise farther out in frequency, relaxing the difficult RF filtering

requirements. Second, the clock frequency plays a crucial role in determining the

maximum data rate possible for the modulator. The data rate is dependent upon

the signal bandwidth and the dynamic range over that bandwidth. A higher clock

frequency allows a higher OSR for a given bandwidth, increasing dynamic range, or

a higher bandwidth for a, given OSR.

The drawback of a high clock frequency is high dynamic power consumption in

the digital processing. Digital switching power can be expressed as [35]

P = CVd f (a) (6.1)

where f is the clock frequency and a is the switching activity factor between 0

and 1. Power is directly proportional to the clock frequency. In addition, a high clock

SFO:21 Sr3:51 Si6:81 Si9:111

Figure 6-1: Pipeline of (4) 3-bit Ripple Carry Adders

frequency imposes stringent timing constraints on the digital circuits, which results in

higher power consumption due to the tradeoff between energy and delay. Optimizing

the digital circuit power consumption at a high clock frequency is important to justify

replacing the analog circuits in conventional IQ modulators.

6.1.1 General Techniques

Digital circuits operating at high sample rates are typically pipelined. If a complex

logic function cannot be computed in a single clock period, the logic can be divided

into pipelined stages driving flip-flops that store stage outputs and pass them forward

for processing during the next clock period. Pipelining trades off timing constraints

for latency. For many applications, latency of the data does not affect the digital

system performance.

However, excessive pipelining adds a large overhead of flip-flop elements to the

circuit design. Since the flip-flops are clocked elements, the clock load is also greatly

increased. The extra power dissipation in the flip-flops and clock trees can contribute

significantly to the overall digital power consumption. Fig. 6-1 and Fig. 6-2 illustrate

the drawbacks of pipelining for the case of a 12-bit adder. In Fig. 6-1, the 12-bit adder

is composed of 4 pipelined 3-bit ripple carry adders. The resulting implementation

includes a total of 57 D flip-flops. The adder in Fig. 6-2 is composed of 2 pipelined

SfO:51 Sr6:111

Figure 6-2: Pipeline of (2) 6-bit Ripple Carry Adders

6-bit adders. The number of single-bit adder cells remains the same, at 12, but the

number of required D flip-flops is reduced by a factor of 3 to 19. Although the 3-

bit adder cell may consume less power than the 6-bit adder cell, this difference is

outweighed by the much larger number of flip-flops and much larger clock load in the

4x pipeline.

Clock power is often substantial due to a large capacitive clock net distributed

throughout the digital block. The switching activity factor, a, for the clock network

is 1. An efficient static implementation is preferable to a dynamic implementation

since the latter utilizes clocked transistors in every logic gate. It is important to avoid

the use of multipliers when architecting the digital system. Digital multipliers are

implemented with a cascade of adds and shifts and consume much greater power than

a single adder.

1]

6

vrnl ,Arnl ,rinlALE

uantizer

Figure 6-3: Error Feedback Topology

6.2 AE Modulator Topology

As discussed in Chapter 4, a low order, multi-bit AE modulator can simultaneously

maximize the in-band SNR and ease the filtering requirements of the RF BPF. A

2nd order, 3-bit AE modulator with clock frequency of 2.625 GS/s was designed to

achieve greater than 50 dB SNR for our targeted RF bandwidth of 200 MHz.

An error feedback topology is chosen for its advantages of simplicity in all-digital

implementations of AE loops [29]. Fig. 6-3 illustrates the structure for a general error

feedback loop [29]. The noise transfer function (NTF) and signal transfer function

(STF) can be derived using Z-transforms through the following equations .

X(Z) - E(Z)F(Z) = W(Z) (6.2)

W(Z) - Y(Z) = -E(Z) (6.3)

Solving for W(Z) in eqn. (6.3) and substituting into eqn. (6.2), we can write the

following equations.

X(Z) - E(Z)F(Z) = Y(Z) - E(Z) (6.4)

Y(Z) = X(Z) + E(Z)(1 - F(Z)) (6.5)

Critical Path--------

IN3 MSBs

OUT

Figure 6-4: 2nd Order MASH Error Feedback Topology

According to eqn. (6.5), the output of the error feedback loop equals the input

plus the quantizer error, E(Z), shaped by 1 - F(Z). Accordingly,

STF(Z) = 1

NTF(Z) = 1 - F(Z)

(6.6)

(6.7)

F(Z) = z - 1 implements a 1st order loop with NTF(Z) = 1 - z- 1. In this case,

F(Z) is a single delay element.

The error feedback topology is impractical for use in ADCs due to the high sensi-

tivity of the analog loop to any imperfections in either the loop filter or the subtractor

[29]. In a digital implementation, these functions are implemented exactly.

In Fig. 6-4, two 1st order error feedback stages are cascaded in a MASH topology

[36]. Quantization noise from the first stage is cancelled by the second stage. The

equations describing the MASH operation are listed below.

Yl(Z) = z- 1 X(Z) + el(Z)(1 - z -1 ) (6.8)

2nd Order, 3-bit AE Modulator IQ Output Spectrum Up-Converted to 5 GHz

0

Frequency (GHz)

Figure 6-5: MATLAB Simulation of 2nd Order, 3-bit AE Modulator

Y2(Z) = z-l(-el(Z)) + e2 (Z)(1 - z -1) (6.9)

Y(Z) = z-2yI(Z) + z-1 (1 - z- 1 )Y2 (Z) = z-3X(Z) + z-le2(Z)( - z 1-) 2 (6.10)

The MASH topology implements 2nd order noise shaping. The critical path con-

sists of a single 12-bit adder. The cancellation of 1st stage quantization noise is

perfect in the all-digital implementation.

I and Q 2nd order MASH AE modulators were simulated in MATLAB with a

complex baseband input near 10 MHz. The simulation included an ideal RF up-

converter to shift the spectrum to 5 GHz. The clock rate for the modulators in the

simulation was 2.5 GHz. Fig. 6-5 shows the resulting AE output spectrum at 5 GHz.

The SNR in a 200 MHz bandwidth centered at 5 GHz was 55 dB.

6.3 Low Power, High Speed Adder Design

A low power, high speed adder is the critical design block in the AE modulator.

A word length of 12 bits was chosen to minimize the digital power and area while

maintaining low quantization noise compared to the dynamic range of the system.

This word length is small compared to microprocessors, which typically use 32 or 64

bits. When the number of bits is small, the ripple-carry adder is attractive because

it has no overhead circuitry and can be implemented in the smallest area. The delay

of an N-bit ripple-carry adder is approximated by [35]

tadder (N - 1)tcarry + tsum (6.11)

where tcarr, and tsum are the propagation delays from CiO to CoQt and Ci, to Sum

in a full-adder cell. The delay is dominated by the carry chain for N greater than 4

or 5.

Conventional static adders require extensive pipelining to operate at 2.5 GS/s in

0.13 pm CMOS. A faster carry chain can be designed using a pass-gate style adder,

whose carry chain consists of 1 NMOS pass-gate per bit. The reduced logic swing in

the carry chain can be amplified back to full CMOS levels using a differential sense-

amplifier flip-flop scheme [37]. In the following sections, a conventional static mirror

adder and a pass-gate adder are compared for 12-bit addition at 2.5 GS/s and 1.3 V

using Spice simulation.

6.3.1 Conventional Static Mirror Adder

The mirror adder has been a popular full-adder topology for designs targeting low

power and minimum area [38]. The circuit schematics for the mirror adder are shown

in Fig. 6-6 and Fig. 6-7 [35]. An inverter in the carry chain is eliminated by cascading

even and odd versions of the mirror adder cell in a ripple-carry adder [35]. N, the

number of carry bits that can be rippled in 400 ps, is small. Thus, tsm is significant

and the sum stage transistors must also be optimized for speed, and cannot simply

be minimum size.

SUM

ALL TRANSISTOR SIZES MIN LENGTH

TRANSISTOR WIDTHS IN MICRONS

Figure 6-6: Mirror Adder Even Cell

ALL TRANSISTOR SIZES MIN LENGTH

TRANSISTOR WIDTHS IN MICRONS

Figure 6-7: Mirror Adder Odd Cell

100

Table 6.1: Pipelined 2-bit Mirror Adder Simulation Results

Critical Path Propagation Delays Rise/Fall (ps)

CLK -~ C, 75/100

Cin C1 68/64

C1 -- Sum 2 137/130

Worst Case Total (2-bit add) 305

Power Dissipation

Adder Cells 3 mW

Flip-Flops 15.3 mW

Clock Driver 7.7 mW

Total 26 mW

In the simulation set-up, an inverter is used to drive the clock signal with worst

case rise/fall time of 80 ps. The sum outputs drive 10 fF loads. The adder inputs

are driven by ideal piecewise linear voltage sources with rise/fall times of 80 ps.

A static transmission-gate edge-triggered flip-flop is used to implement all pipeline

delays. Power consumption results do not include the power needed to drive the

adder inputs, but do include the power consumed by the clock driver. The adder

cell's layout parasitics are extracted and included in the simulations.

Simulation results at 750 C and 1.3 V supply using nominal process models are

summarized in Table 6.1. A 6 stage pipeline of 2-bit ripple-carry adders meets the

timing requirements. The adder power dissipation is 26 mW, with the majority of

the power consumed by the flip-flops and clock driver. The adder cells can be sized

larger to enable a 4 stage pipeline of 3-bit adders, but the savings in flip-flop power

is offset by a doubling in adder cell current and input capacitance.

101

out

Figure 6-8: NMOS Passgate Adder Simplified Schematic

6.3.2 Passgate Adder

The pass-gate style adder reduces the number of pipeline stages in the adder due to

a faster carry chain. The adder utilizes a dual-rail complementary Manchester carry

chain in conjunction with a differential sense amplifier for both the carry out as well

as the sum [37]. A simplified schematic of our implementation is shown in Fig. 6-8.

The implementation is based on the following two equations.

P, = AiE DB (6.12)

Si = Pi ( Cin (6.13)

For Pi, CMOS transmission gates implement the XOR function. For Si, NMOS

pass-gates are used since full logic levels are not required.

The gate count is reduced by not requiring logic to produce generate and kill

signals from the adder inputs Ai and Bi. Instead, transmission-gate-based adder logic

is adopted where the output carry is either equal to the input carry or Ai, depending

on the value of Pi [35]. A pair of NMOS pass-gates with drains connected together

102

·

RLLA I nM•WND I %JM OlrO MIP LCNI X I nTRANSISTOR WIDTHS IN MICRONS

Figure 6-9: PMOS Sense Amplifier

provide two parallel paths to implement the logic, minimizing the capacitance on the

critical carry chain nodes. Carry skip techniques are not used at these high clock

rates because they introduce substantial routing parasitics on the carry chain nodes

and require wide AND gate logic. Static CMOS is used rather than dynamic logic to

minimize the number of clocked transistors and reduce clock driver power.

The sense-amplifier flip-flop is a PMOS version of the modified SAFF design in

[39]. It is designed for a CLK -+ DATA delay of less than 170 ps for input differential

voltages as small as 200 mV. The circuit schematic is shown in Fig. 6-9, including

reset circuitry.

The speed of the carry chain, for the worst case of propagating a carry through

all N bits, can be analyzed using a linearized RC network model. Fig. 6-10 shows an

example of an RC model for a 6-bit pass-gate adder. The propagation delay can be

approximated by the following equation [35].

tp = 0.69[(R 1C1) + ((R + R 2 ) + . ((R 1 + R2 + R3 + R4 + R 5 + R6 )C 6 )] (6.14)

In eqn. (6.14), with equal size pass-gate transistors, all Ci are equal. The values

of Ri depend on the starting values of the intermediate carry bits. In the best-case

103

Cin

Cin R1 R2 R3 R4 R5 R6 CoutrIn 1Cout

- C1 C2 C3 C4 C5 C6111111II

Figure 6-10: RC Network to Model Carry Chain Delay

scenario, all intermediate carry nodes are at a logic low of 0 V and Cin is driven high.

All pass-gates are in their linear region, with maximum V, - Vt and minimum Ron,

except for the first pass-gate which is in its saturation region with a maximum gate

drive of Vdd. In this case, R 1 = 1.25 kQ and the remaining Ri = 200 Q for a transistor

width of 2.8 pm and minimum length. Using eqn. (6.14), the delay for a 6-bit carry

chain is 72 ps, corresponding to 12 ps/bit. The delay for the final sum bit is the carry

chain delay plus one additional pass-gate delay.

In the worst-case scenario, all intermediate carry nodes start at a logic high of

Vdd - Vt (since the carry chain does not have any PMOS transistors). If Ci, is a

logic low, the first pass transistor is turned on at the edge of saturation, while the

remaining pass transistors are initially cutoff. The starting resistance in the chain

is high, leading to a slow initial response. Simulations of the chain in Fig. 6-10 for

the worst-case scenario indicate a propagation delay of 200 ps. This corresponds

to 33 ps/bit, which is still substantially faster than the static mirror adder. In the

differential carry chain, the best and worst case scenarios will occur on Ci and Ci

simultaneously.

A reset technique is used to pull all carry chain nodes to ground through a small

NMOS transistor during the first half of the clock cycle [37]. This reduces the available

time for carry propagation to less than half the clock period (200 ps), but it also

104

B P

Cin Cout Cin SUM

A CLK o.08 CinX

-,-PCLK -

P

Cout Cin.6 lrCin SUM

-Cmp CLK-j o.s

P

ITB PROP ALL TRANSISTOR SIZES MIN LENGTH

TRANSISTOR WIDTHS IN MICRONS

PROP P P CLK-1 1.2 PCLK

cLK- PRO 0.6

Figure 6-11: Passgate Adder Transistor-Level Schematic

insures that all pass-gates start in their linear region. Given the typical delay of the

sense-amplifier flip-flop driving an adder input, the propagate signal gating the carry

chain will not be valid until approximately the end of the first half of the clock cycle

anyway.

The final schematic for the pass-gate adder cell is shown in Fig. 6-11, including

the reset NMOS transistors. When the carry chain nodes reset to ground, there

is a possibility that the input Ai may be shorted to ground through the pass-gate

controlled by Pi, which is not valid yet. In order to prevent current from flowing,

a clock gated version of PF is used to open the pass-gate whenever the clock signal

is high. The additional logic does not affect the resistance or capacitance of the

carry chain RC network. The adder consists mainly of static CMOS inverters and

pass-gates with low logical effort.

A 12-bit adder was built using a two stage pipeline of 6-bit pass-gate adders.

This is an efficient choice since in the AE modulator architecture, a delay element

is required after the adder. Most of the pipelining flip-flops are absorbed into the

modulator implementation at no cost. Simulation results for the pass-gate adder

105

Table 6.2: 6-bit Pass-Gate Adder Simulation Results

Critical Path Propagation Delays Rise/Fall (ps)

CLK t-- Cot(300mVdif ference) 73/72

CLK --+ S6(300mVdi f ference) 86/85

Power Dissipation

Adder Cells 1.8 mW

Flip-Flops 8 mW

Clock Driver 2.5 mW

Total 12.3 mW

Figure 6-12: Pass-Gate Adder Carry Chain Waveforms

106

,: CLK"nnnnnn

0

cos(r " )

4x Interpolator Al Digital-IF Up-ConverterModulator

Figure 6-13: Digital Block Diagram

are shown in Table 6.2. Fig. 6-12 plots the carry chain node waveforms that are

propagating down the RC network. Compared to the static mirror adder, the pass-

gate adder dissipates less than half the power for the same simulation conditions.

Most of the power savings are in the flip-flops and clock driver. Thus, the pass-gate

adder was chosen for use in the high-speed AE modulator design.

6.4 Top Level Implementation and Results

The top level digital block architecture is shown in Fig. 6-13. The digital block takes

I,Q digital data as input bits and outputs 3-bit, I and Q, IF AE bitstreams. The

I,Q processing consists of a 4x interpolator, a 2nd order, 3-bit, Digital AE modu-

lator, and a digital up-converter with IF frequency of fl . The digital-IF function

can also be bypassed, allowing the I and Q baseband AE bits to directly drive the

subsequent digital-RF converter. Thus, both homodyne and digital-IF transmitters

are supported.

107

II

0,LLINEAR INTERPOLATOR-J LZERO-ORDER J

HOLD

Figure 6-14: 4x Interpolator Implementation

6.4.1 Interpolation Filter

The interpolation filter up-samples the input bits by a factor of 4 and attenuates the

digital images. It is implemented in two stages of 2x interpolation with a cascade of a

linear interpolator and a zero-order hold. For an input sample rate of 650 MHz and an

input bandwidth of +/- 100 MHz, the closest image lies 550 MHz away. Since the RF

bandpass filter at the output of the DRFC provides greater than 20 dB attenuation

at +/- 550 MHz, the digital interpolation filter needs to attenuate this image by 30

dB to achieve an overall rejection greater than 50 dB.

The digital implementation of the interpolator is shown in Fig. 6-14. The fre-

quency response of the first 2x interpolation stage is given by [29]

1 sin( )(6.15)H(e"') = (- 2 K (6.15)

M sin(f)

where M is the interpolation factor and K equals 2 for a linear interpolator. At

550 MHz, it provides 25 dB attenuation. The zero-order holds in the second 2x inter-

polation stage and the digital-RF converter provide an additional 5 dB of attenuation

at 550 MHz offset.

108

^ ý P% f

cos( )

sin (IT ) 0,1,0,-1,0,1,0,-1,...

cos( ) = 1,0,-1,0,1,0,-1,0,...

Figure 6-15: Digital-IF I,Q Bitstrearns

0, 03

Figure 6-16: Digital-IF Up-Converter Implementation

109

-Q,-I, QI-Q,-,..

ý5,-1, Q, 1,-Q9,-IQ,..

6.4.2 Digital-IF Up-Converter

The digital-IF up-converter is greatly simplified by setting the IF frequency to be

l-i [34]. In a quadrature up-converter, one digital mixer output is always zero when

the other mixer output is non-zero, following from eqn. (5.1) and eqn. (5.2). This

amounts to multiplexing between the I and Q input bits since the up-converter output

equals the sum of the two mixer outputs. The resulting quadrature-IF bitstreams from

the two quadrature up-converters are shown in Fig. 6-15. The bitstreams alternate

between I and Q at the sample rate fclk. The bits are inverted every two clock

samples. The quadrature bitstreams are offset by one clock sample, corresponding to

a 900 phase shift at the IF frequency of fclk

The gate-level digital implementation is shown in Fig. 6-16. A transmission gate

multiplexor controlled by a half-rate clock is used to swap between I and Q bits at

the full sample rate. Another multiplexor, with one inverter in series with one of its

transmission gates, is controlled by a quarter-rate clock to invert the bits every two

clock samples. The entire block can be bypassed with another multiplexor, which

either directly routes I and Q to the output, or passes I and Q through the digital-IF

up-converter. The I and Q digital words remain 3 bits wide throughout the entire

block. The simplicity of the implementation saves power at the high clock rate.

6.4.3 Simulation

The digital block was first modelled and simulated using MATLAB with fixed point

numbers. The MATLAB model included an ideal digital-RF converter block followed

by an ideal RF bandpass filter. An FFT was performed on the RF output to measure

SNR for single-tone sine wave inputs.

Before transitioning to SPICE, a gate-level schematic was created using Verilog-

XL to perform a bit-level simulation. The digital output bits were ported back into

MATLAB as inputs to the digital-RF converter block. MATLAB SNR simulations

were used to verify that the gate-level schematic was functional. Fig. 6-17 shows the

RF output spectrum resulting from the Verilog-XL/MATLAB simulation for a single-

110

Verilog-XL/MATLAB RF Output Spectrum

m

Frequency (GHz)

Figure 6-17: Verification of Digital Block

tone sinewave at 10 MHz. The SNR, integrated over a 200 MHz RF bandwidth, was

54.9 dB.

Finally, the gate-level schematic views were replaced with transistor-level schemat-

ics. A SPICE simulation of the entire digital block including layout parasitics was

then done using Spectre. The output waveforms were converted into digital bits using

ideal A/D blocks and then compared bit-by-bit to the Verilog-XL simulation results.

Signal waveforms in the adders were viewed to quantify the margin with which timing

constraints were being met.

The feedback loop in the AE modulator, encompassing the adder and sense-

amplifier flip-flop, contained the most difficult timing constraint. If the sense-amplifier

output delay is too long, then this input to the adder arrives late. The late arriving

input causes the adder's differential sum output to be smaller in amplitude. Since the

sense-amplifier delay is a function of its differential input voltage, a positive feedback

loop increases the delay of the sense amplifier until the circuit loses functionality. The

sizing of the sense-amplifier transistors had to be adjusted after the layout phase in

order to decrease its delay.

111

Table 6.3: Digital Block Simulation Summary

The results for the final version are summarized in Table 6.3.

6.5 Summary

The high speed digital processing required by the AE digital-RF modulator architec-

ture has been implemented at 2.5 GS/s. A MASH error-feedback implementation of

the 2nd order, 3-bit AE modulator reduces the modulator critical path to a single

12-bit adder. A static pass-gate adder with fast carry chain is found to be an optimal

adder style for high speeds and low-medium bit widths. It consumes less than half

the power of a conventional static mirror adder, and about one third the power of a

dynamic logic carry-lookahead adder. The digital block consumes 85 mW at 1.4 V

supply and can be used to replace traditional analog circuits in the implementation

of wideband direct digital-RF transmitters.

112

Supply Voltage

Temperature (C)

Clock Speed

SNR (200 MHz BW)

Power Consumption

1.4 V

75

2.5 GHz

54.9 dB

85 mW

1

Chapter 7

DRFC Circuit Design

A simplified schematic of the quadrature digital-RF converter is shown in Fig. 7-1. It

consists of two digital-RF converters, driven by quadrature phases of an LO signal,

whose output currents are summed in an LC filter load. Cascode transistors isolate

the high swing output signal from the switches in the converter cells.

The DRFC is similar in operation to a differential DAC. A differential DAC

switches the polarity of a DC current based on a sequence of digital bits. Its unit cell

consists of a current source and a current-steering switch. Addition of the unit cell

currents and reconstruction filtering results in the desired analog signal. The DRFC

switches the polarity of an RF current. The DRFC unit cell uses a differential pair,

being driven by a high frequency LO signal, on top of the DC current source. The

differential LO output current is multiplied by +1 or -1 using two current-steering

switches. Addition of the unit cell currents and bandpass reconstruction filtering

results in a, modulated RF signal. Since the digital data is an over-sampled AE bit-

stream, the modulation is obscured by a large amount of quantization noise before

filtering.

Both the LO signal and baseband data signals are fully switching digital signals.

Analog design considerations such as noise and linearity are removed from the base-

band path. LO feedthrough is reduced because the digital baseband signals are large

compared to the DC offsets in the switches. A large analog baseband signal in an

IQ mixer causes harmonic distortion. Similar to the IQ mixer, quadrature LO phase

113

I II i

I sin(wt)

I- - I I

SConverterIUnit Cetll

I

Figure 7-1: Quadrature Digital-RF Converter Core

inaccuracy creates an image spur. The quadrature digital-IF architecture eliminates

both LO and image spurs.

The quadrature 3-bit AE DRFC is susceptible to mismatches between unit ele-

ments. Amplitude and timing mismatches between the RF currents cause distortion

and noise. The mismatches can be random or systematic in nature. In the following

section, the quantitative effect of mismatches on the signal to noise and distortion

ratio (SNDR) will be analyzed.

7.1 Unit Cell Mismatches

Traditional DACs are characterized by metrics such as differential non-linearity (DNL)

and integral non-linearity (INL) at DC, and spurious-free dynamic range (SFDR) at

high frequencies. However, the output of a DRFC is a digitally modulated RF signal.

Mismatches between elements in a multi-bit DRFC cause noise and distortion.

SNDR is a more meaningful metric for the DRFC output. It is the ratio between

the signal power and the error power due to noise and distortion. Knowledge of

114

the quantitative relation between element mismatch and SNDR is useful to circuit

designers.

SNDR is related to the inverse of the error vector magnitude (EVM) of a digital

symbol. EVM is a measure of the deviation of a received constellation point from its

ideal constellation point. In some definitions, EVM is simply the magnitude of the

error vector. In others, EVM is normalized to be the ratio between the error vector

and the ideal symbol vector. In the 802.11a standards [2], the rms value of the EVM

is defined as

/ { (I(N) - lo(N))2 + (Q(N) -Qo(N)) 2}EVMRMS (7.1)

N * Po

where the summation takes place over N, with N=(number of sub-carriers*packet

length), and where 1o(N) and Qo(N) are the ideal constellation points, I(N) and

Q(N) are the received constellation points, and Po is the average power. Eqn. (7.1)

computes the square root of the rms average of a sequence of error vectors divided

by the average signal power of that sequence.

Using this definition of EVM, SNDR can be related to EVM as

SNDR = -(201oglO(EVM)) (7.2)

Since EVM is a ratio of voltages, 201loglO is used to find the power ratio.

Fig. 7-2 shows a DRFC unit cell with different types of mismatches. Each unit

cell is nominally identical to every other unit cell. In practice, the amplitude of the

DC current source, the amplitude and phase of the LO signal, the timing of the data

signal, and the propagation delay of the output current can all vary from cell to cell.

Except for the LO signal variations, these mismatches occur in DACs and have been

analyzed extensively.

7.1.1 DAC Mismatches

The size versus matching relation for MOS transistors has been studied in [40]. The

standard deviation of current in a set of parallel current sources can be calculated

115

I-UrQE

Figure 7-2: DRFC Unit Cell Mismatches

using [40]

2( d)1 4u2( VTO) 22()Id (Vs V )+ (7.3)d2 -(VGS - TO)2 P2

where a2(VTo) and U2(0) are statistical measures of a particular process. It isfound that the standard deviation is proportional to - [40]. Better matching can

be achieved through larger area current sources. In [3], a formula has been derived

that relates the unit current standard deviation to the resolution of the DAC and

the desired INL yield. This provides a link for the designer to go between circuit

mismatch and INL yield.

The work in [41] analyzes the effect of timing errors between the data signals on

DAC distortion. It is found that the resulting output error is proportional to the

spread of the timing error and to the discrete-time derivative of the digital input

signal. Larger timing spreads and larger step-sizes lead to greater distortion. For a

non-noise-shaped DAC, a formula for the signal to distortion ratio (SDR) in dB is

given as [41]

116

LO

0

0 0.2 0.4 0.6 0.8 1 1.2x 10

-9

DATA

0--1

0 0.2 0.4 0.6 0.8 1 1.2x 10

-

OUTPUT

0

-1

0 0.2 0.4 0.6 0.8 1 1.2x 10-

ERROR0.05

-0. 02 0.4 0.6 0.8 1 1.2x 10'

9

Figure 7-3: LO Amplitude Mismatch

SDR(dB) = 3(N - 1) - lOlog(a 2fsigfclk) - 9.03 (7.4)

where a 2 is the variance of the timing error. The SDR decreases 20 dB per decade

with the timing error and 10 dB per decade with the signal frequency and clock

frequency [41]. According to [42], for a 400 MS/s DAC and 120 MHz output signal,

the timing error across all unit cells needs to be less than 5 ps to achieve a SFDR of

70 dB.

The impact of timing errors on DAC design becomes more prominent as the sam-

pling frequency increases. In [5], a 16-bit 400 MS/s DAC was presented in which

the clock tree was modelled as a transmission line and terminated to ensure uniform

clock distribution matched to the output propagation delay. In [4], a 14-bit 1.4 GS/s

was presented in which the output current summation tree was carefully constructed

in layout to minimize output timing errors.

117

LO

10

-1

0 0.2 0.4 0.6 0.8 1 1.2x 10o

DATA

0-

-10 0.2 0.4 0.6 0.8 1 1.2

x 10-F

OUTPUT

1 I

-1

0 0.2 0.4 0.6 0.8 1 1.2x 10

-

ERROR0.5

0

-0.5 "0 0.2 0.4 0.6 0.8 1 1.2

x 10-9

Figure 7-4: LO Phase Mismatch

7.1.2 AE DRFC Mismatches

The design of a DRFC introduces a new mismatch term due to the need to match the

high frequency LO signal current in amplitude and phase across all unit cell differential

pairs. The LO amplitude and phase mismatches can be treated in the same way, as an

effective gain mismatch between unit cell LO currents. Fig. 7-3 and Fig. 7-4 illustrate

a pair of unit cell currents being switched by ideally matched data signals. LO plots

the two mismatched LO unit cell currents, DATA plots the data signal applied to the

current switches, OUT plots the two current switch outputs, and ERROR plots the

difference between the currents. In Fig. 7-3, the unit cell currents have an amplitude

mismatch. Due to the amplitude mismatch, the error signal consists of a sinusoid at

the LO frequency with a peak value equal to the amplitude mismatch. In Fig. 7-4,

the unit cell currents have a phase mismatch. The error signal is again a sinusoid at

the LO frequency. In this case, the peak value of the error waveform is approximately

equal to ,mismatch. Mathematically, this follows from the equation below.

sin(wt + Omismatch) = sin(wt) * Cos(€mismatch) + cos(wt) * sin(lmismatch) (7.5)

118

A IA H

0 0.2 0.4 0.6 0.8 1 1.2

X 10-9DATA

0

-10 0.2 0.4 0.6 0.8 1 1.2

x 10-9

OUTPUT

1

-110 0.2 0.4 0.6 0.8 1 1.2

X 10-'ERROR

0.5-

-0.5- I

0 0.2 0.4 0.6 0.8 1 1.2x 10-

Figure 7-5: Data Timing Error

For small ,mismatch, eqn. (7.5) can be approximated as

sin(wt)* COs(¢mismatch) + cos(wt) * sin(€mismatch) - sin(wt) + (Omismatch) cos(wt) (7.6)

The error signal represents a gain mismatch that can be characterized in the same

way that the DC current mismatch in a conventional DAC is characterized. The

error power is independent of the LO frequency, and the DRFC signal and clock

frequencies.

In contrast, clock skew on data bits being applied to the unit cells results in

an error signal that is dependent upon the DRFC signal and clock frequencies. An

intuitive picture for this is provided in Fig. 7-5. In this picture, two unit cells differ

only in the timing of their data signals. The resulting output and error waveforms are

plotted. From the plot, it can be seen that the amount of time that the error is non-

zero is proportional to the ratio between the time skew and the clock period. If the

sample rate increases, the clock period decreases and the average power of the error

increases. The magnitude of the error during the switching instants is proportional

to the amount of current being switched. This current is, in turn, proportional to the

119

1 - I I

step size of the digital input signal. For a fixed sample rate, a higher signal frequency

will result in a larger step size.

An advantage of the AE approach is that the number of DRFC unit cells is small.

A 3-bit AE modulator requires only 7 unit cells, leading to small layout area and

minimal timing skew between cells. The maximum step size of the over-sampled 3-

bit digital input is not large. As a result, timing skew requirements in a AE DRFC

are relatively easy to meet.

7.2 Behavioral Simulations

A behavioral model of a multi-bit AE DRFC was developed in MATLAB to find

the quantitative relationship between the gain mismatch among DRFC unit cells and

SNDR. It is assumed that the various sources of amplitude and phase mismatch are

statistically independent, and a single Gaussian random variable is used to model the

combined effect of all the mismatches. The DRFC architecture is pseudo-segmented.

7 unit cells are used, but there is no thermometer decoding. The MSB drives 4 unit

cells in parallel, the ISB drives 2 unit cells in parallel, and the LSB drives 1 unit cell.

The data signals have a sample rate of 2.5 GS/s and switch linearly with a rise/fall

time of 50 ps.

Single-tone sine-wave inputs are used to characterize the SNDR performance.

In a Nyquist DAC, mismatches between unit cells cause distortion of a sine-wave

input. In a AE DRFC, the input waveform is not a pure sine-wave but rather the

linear combination of the the desired single-tone sine-wave and high-pass filtered

quantization noise. This can be expressed in the Z-domain as

Y(Z) = X(Z) + (1 - z- 1)2E(Z) (7.7)

where Y(Z) is the output of the AE modulator and also the input to the DRFC.

Mismatches create distortion from the periodic signal component of the waveform,

and noise from the random high frequency component of the waveform. A metric

such as SFDR fails to capture the total error power due to mismatch.

120

2nd order 3-bit AL RF Output Spectrum

2Frequency (Hz) x 109

Figure 7-6: Behavioral Mismatch Simulation

Fig. 7-6 plots a sample output spectrum of a AE DRFC whose LO unit cell

currents have a standard deviation of 1 percent. Distortion of the 10 MHz sine-tone

input results in harmonics of 10 MHz being up-converted to RF. The mismatches also

cause a higher image spur. The output spectrum contains a broadband noise floor

which covers the null in the frequency spectrum expected at 5 GHz. SNDR can be

separated into two components : signal to distortion ratio (SDR) and signal to noise

ratio (SNR). Simulations show that SDR is slightly worse than SNR, and also has

slightly greater variance.

Sets of 25 simulations were run for different amounts of mismatch. Fig. 7-7 and

Fig. 7-8 plot the mean and standard deviation of the simulated SNDR vs. percent

mismatch for a bandwidth of 200 MHz. Mismatch less than 1 percent is required to

achieve an SNDR greater than 50 dB. The standard deviation of the SNDR drops off

for small values of mismatch because SNDR is limited by the quantization noise of

the AE modulator at those values.

121

2nd Order 3-bit Al: SNDR (Mean)

Percent Mismatch

Figure 7-7: SNDR (Mean) vs. Percent Mismatch

2nd Order 3-bit A: SNDR (Std Dev)

Figure 7-8: SNDR (Std Dev) vs. Percent Mismatch

122

LO Time Spread

Effective Gain Mismatch (%)

Figure 7-9: LO Timing Spread vs. Gain Mismatch

SNDR (dB) vs. Linear Delay/Segment

55

50

45

4014

10

1013 10 11210

- 13 10- 12

Delay/Segment (s)

Figure 7-10: SNDR vs. LO Delay/Segment

123

I · I I I 11/1 1 I I r~T

7.2.1 LO Phase Mismatch

The gain mismatch requirements are translated into phase mismatch requirements

using eqn. (7.6). The phase mismatch requirements, in turn, can be translated into

timing error requirements for the LO unit cell currents. Fig. 7-9 plots the equivalent

timing spread vs. effective gain mismatch for different LO frequencies. The plot

shows that as the LO frequency becomes higher, the allowable timing spread of the

LO signal becomes very small. For a 5 GHz LO frequency, the spread in timing needs

to be less than 250 fs to maintain SNDR greater than 50 dB.

Timing spread of LO unit cell currents also results from systematic layout effects.

A simple assumption is that there is a linear delay per unit cell segment [43]. Fig. 7-10

plots the SNDR vs. delay per segment. In order to maintain SNDR above 50 dB, the

delay per segment must be less than approximately 300 fs. For a non-noise-shaped

DRFC with large number of unit cells, these requirements are difficult to meet due

to the larger layout area.

According to simulations, data skew tolerances are an order of magnitude greater

than LO timing requirements, and are much easier to satisfy.

7.3 Circuit Implications

Fig. 7-11 shows the relevant differential pairs in the high frequency path of the DRFC

unit cell. To minimize the impact of transistor mismatches, the LO differential pair

and data switches should be operated in their fully switched regions. This makes

the differential output current equal to the input tail current. However, the voltage

rise seen at the source node [3] [5] for large differential voltages induces a current at

high frequencies that flows into the parasitic source node capacitance. A mismatch

occurs because the magnitude of the voltage rise at the source node depends on the

differential pair mismatch, which will vary from unit cell to unit cell. The result is

that at high frequencies, the LO current matching is not set by the matching of the

DC current sources, but by the mismatches in the LO and data switch differential

pairs.

124

TRANSISTORMISMATCH

I

Figure 7-11: Unit Cell Transistor Mismatches

Fig. 7-12 plots the simulated LO differential pair current matching versus LO

input swing for an ideal current source, a real current source and 250 MHz LO, and

a real current source and 5 GHz LO. With an ideal current source, the matching

improves as the LO input swing increases. With a real current source, the matching

improves until the swing is large enough to cause the source node to move. The

current matching is then limited by the finite impedance at the source node, which is

lower at 5 GHz than at 250 MHz due to the sizable parasitic capacitance of the bias

transistor. The simulation results show about 1.5 percent matching at 5 GHz. The

contribution to mismatch from the top current-steering switches is smaller since the

LO differential pair transistors beneath them have much smaller parasitic capacitances

than the biasing transistor.

The LO path time constants need to be short to insure that variations in the time

constants across unit cells do not exceed the allowable LO timing spread. According

to Fig. 7-9, 1 percent effective gain mismatch corresponds to - 0.25 ps timing spread.

When the LO differential pair and data switch transistors are fully switched, the LO

path can be modelled as a cascode gain stage. The time constant of the cascode

can be approximated as (l/gm) * Ctotal, where gm is the transconductance of the

data switch transistor and Ctota, is the total capacitance at the source node of the

125

Percent Matching

0)0)

VLO (mV)

Figure 7-12: LO Differential Pair Output Current Matching

data switches. If a variance of 3 percent is assumed for this time constant, then the

following equation can be written to satisfy a maximum .25 ps timing spread.

.03 * (1/gm)Ctotal = .03(RC) = .25e - 12 (7.8)

The required RC time constant translates to a bandwidth requirement for the

cascode stage of 19 GHz. There is a tradeoff between matching and bandwidth in

the LO and switch transistors. Smaller width transistors improve bandwidth but

have larger mismatches. This tradeoff can only be mitigated at the expense of power.

Larger devices biased at higher current levels can provide better matching and high

bandwidth simultaneously.

7.4 DRFC Unit Cell Implementation

Each DRFC is made up of 7 unit cells. The MSB of the 3-bit AE drives 4 unit cells,

the ISB drives 2 unit cells, and the LSB drives 1 unit cell. Each unit cell is biased

at 250 /A, resulting in a total current of 3.5 mA for the quadrature DRFC. The

126

RLLA. I Snni1O•l1 I 1i 1.1 Ir in MAill L I NSIUnnEl I WTVUH1nC3TRANSISTOR WIDTHS IN MICRONS

Figure 7-13: DRFC Unit Cell and Data Driver

current is chosen to maximize the output voltage swing while keeping the cascode

transistor in its saturation region. The tuned LC filter saves current by presenting a

high impedance load to the DRFC at the LO frequency.

Fig. 7-13 shows a circuit schematic of the DRFC unit cell and data driver, including

transistor widths and nominal bias voltages and currents. Standard techniques [40]

are used to match the current sources to " 0.5 percent based on values for a 2(VT)

and a 2(f) provided by the foundry. The current source transistor V,8 - Vt is limited

to 0.25 V based on the available voltage headroom in the circuit. The LO differential

pair gates are biased at 1 V and the gates of the current-steering switches are biased at

1.5/0.9 V depending on the value of the data. The gates of the cascode transistors are

connected directly to the supply voltage of 2.5 V. It is acceptable to use a minimum

length device for the cascode transistor since the maximum source-drain voltage across

the device is - 0.8 V during circuit operation. When the circuit is biased off, the

cascode's gate and drain will be at 2.5 V and the source will float to 2.5 V. The other

devices in the circuit are protected from the 2.5 V supply by the cascode transistor

and will see a maximum effective rail voltage of - 1.7 V. The biasing voltages are

127

Unit Cell Output Current

Figure 7-14: Differential Output Current of Unit Cell

chosen to allow differential voltage swings of 0.6 V pk-pk in both the LO signal and

data signals.

The LO and current-steering switch transistors are sized for high ft and minimum

capacitance. The data drivers consist of a latch and buffer, implemented using source-

coupled logic. The latch re-times the data in each driver to a global clock signal, and

is placed close to the DRFC in layout. The buffer removes glitches from the latch

output and isolates the DRFC from the clock signal. The load resistance and buffer

current are chosen to be 1.5 k2 and 400 pA respectively. This provides a 0.6 V pk-pk

differential swing with approximately 75 ps transition time. The three buffers need

to be scaled to provide identical timing of their data signals. It turned out that the

parasitic capacitances of the routing lines to the DRFC were larger than the input

capacitance of the DRFC current-steering switches. The ISB and LSB buffers were

identical in size, and biased at 400 pA each, while the MSB buffer was biased at 500

IA, accounting for its slightly larger capacitive load.

128

30o8u

- 10u

-20fu

-300u

Quadrature DRFC Output Current

Figure 7-15: Combined Sum of Unit Cell Currents

Quadrature DRFC Filtered Output

Figure 7-16: Quadrature DRFC Filtered Output

129

30m ': Output Voltage

QDRFC OUTPUT SPECTRUM

4.6 4.7 4.8 4.9 5 5.1 5.2 5.3 5.4GHz

Figure 7-17: FFT of QDRFC Output

7.5 Simulation Results

The DRFC, including data drivers and LC BPF, was simulated with I,Q digital data

generated in MATLAB. The simulation results shown below are for a single-tone 10

MHz sine-wave input with a clock frequency of 2.5 GHz and an LO frequency of 5 GHz.

Both direct up-conversion and digital-IF up-conversion topologies are simulated. For

digital-IF up-conversion, the LO frequency is shifted to 4.575 GHz with a digital-IF

frequency of 625 MHz.

Fig. 7-14 plots the differential output current of one of the unit cells. The plot

shows the abrupt 180 ' transitions that the sinusoidal current waveform undergoes.

Fig. 7-15 plots the sum of all unit cell currents in the quadrature DRFC. This wave-

form contains the modulated RF signal in addition to out-of-band shaped quanti-

zation noise from the 2nd order, 3-bit AE modulator. The DRFC output voltage

after bandpass filtering is plotted in Fig. 7-16. Here, the quantization noise has been

removed by the LC bandpass filter, and the resulting output voltage is a single-tone

sine-wave at 5.010 GHz. There is a slight ripple on the envelope due to the presence

of a spurious tone at the image frequency of 4.990 GHz. The FFT of the voltage

130

Digital-IF QDRFC OUTPUT SPECTRUM

GHz

Figure 7-18: FFT of Digital-IF QDRFC Output

waveform in Fig. 7-16 is shown in Fig. 7-17. The image spur is -55 dBc. The cal-

culated SNR over a 200 MHz bandwidth centered at the LO frequency of 5 GHz is

54.7 dB, agreeing well with the MATLAB system-level simulations. Fig. 7-18 shows

the output spectrum when using the quadrature digital-IF architecture. In this case,

there are no image or LO spurs inside the signal bandwidth. Calculated in-band SNR

is 57.2 dB.

RC extracted simulations revealed a layout mismatch between unit cells that

caused a dominant 3rd harmonic baseband tone and an elevated noise floor. Fig. 7-

19 plots the output spectrum of an RC extracted simulation of the QDRFC. LO

feedthrough is -48 dBc. This is due to parasitic coupling of the LO signal from the

bottom differential pair to the output node. The 3rd harmonic of the input tone is

up-converted and is -48 dBc. This spur reflects the presence of a systematic mis-

match in the layout. The problem in the layout was that the routing lines were not

laid out in unit cell fashion. The MSB cell consisted of 4 differential pairs in parallel,

and 4 switches in parallel. However, the connection between the LO differential pair

and the current-steering switch was a single connection. This parasitic was difficult

131

QDRFC OUTPUT SPECTRUM

4.6 4.7 4.8 4.9 5 5.1 5.2 5.3 5.4GHz

Figure 7-19: Simulation of Extracted Layout

to scale in a binary fashion for 3 current cells. In addition to the harmonic distortion,

the mismatch also increases the noise floor of the output spectrum. The calculated

SNR and SNDR for the extracted simulation was 51 dB and 46 dB, respectively.

The layout was revised to fix this error by creating 7 identical unit cells, each with

one LO differential pair and one differential current-steering switch. Fig. 7-20 shows

the simulation results for the revised layout. The 3rd harmonic of the input tone is

lowered to -64 dBc. The calculated SNR and SNDR increase to 53.7 dB and 53.3 dB,

respectively. The SNDR is now fairly close to the ideal MATLAB simulation result

of 55 dB. LO feedthrough is still -48 dBc due to the unavoidable parasitic coupling

paths present from the LO differential pair to the output.

The quadrature digital-IF AE modulator does not show parasitic LO feedthrough

since the LO signal is now offset from the output frequency by the IF frequency. Fig. 7-

21 and Fig. 7-22 show the extracted simulation results for the digital-IF QDRFC using

the original and revised layouts. The digital-IF up-converted spectrum is free from

LO and image spurs. The 3rd harmonic tone is -52 dBc using the original layout.

With the revised layout, it is lowered to -64 dBc. The SNDR improves from 47.8 dB

132

QDRFC OUTPUT SPECTRUM

4.6 4.7 4.8 4.9 5 5.1 5.2 5.3 5.4GHz

Figure 7-20: Simulation of Revised Extracted Layout

Digital-IF QDRFC OUTPUT SPECTRUM

Figure 7-21: Simulation of Quadrature Digital-IF DRFC using Extracted Layout

133

Digital-IF QDRFC OUTPUT SPECTRUM

4.8 4.9 5 5.1 5.2 5.3 5.4 5.5 5.6GHz

Figure 7-22: Simulation of Quadrature Digital-IF DRFC using Revised Extracted

Layout

to 52.8 dB using the revised layout.

7.6 Summary

The circuit design of the DRFC unit cells has been reviewed. A quantitative relation

between SNDR and circuit mismatches was detailed through behavioral modelling of

the DRFC. 1 percent matching is required to attain 50 dB SNDR. Good matching

of the high frequency LO path currents requires careful attention to parasitic capac-

itances in the unit cell transistors and unit cell layout. Simulated SNDR was limited

to 46 dB by a layout error that caused phase mismatches between DRFC LO cell

currents. The error was found through extracted RC simulations and corrected in

layout, improving the simulated SNDR to 53 dB. Mismatch shaping is an effective

method to mitigate the effects of element mismatch.

134

Chapter 8

Measurement Results

8.1 Fabricated Test Chips

Two test chips were fabricated in IBM's 8HP 0.13 pm BiCMOS process to demon-

strate the performance of the wideband AE digital-RF modulator. All modulator

circuits exclusively used 0.13 pm CMOS transistors. The ICs were packaged in 88-

QFN packages with exposed ground paddle. The 88-QFN package has very small

lead inductance, which is helpful for bringing high speed digital signals onto the chip,

and for getting 5 GHz RF signals into and out of the chip. Multiple ground pads on

the chip were down bonded to the paddle, providing short ground connections with

low inductance. The exposed paddle was soldered directly to a ground plane on the

PCB. The PCB was a standard 4 layer FR4 board.

The first test chip included all modulator circuits except for the high speed digital

AE modulator. A block diagram is shown in Fig. 8-1. All I/O's are shown single-

ended, but are implemented differentially. The LO path consists of an input buffer,

a polyphase filter to produce quadrature phase LO signals, and limiting LO buffers

to drive the DRFC. The quadrature-DRFC includes data/clk drivers, the DRFC unit

cells, and the integrated LC BPF with automatic frequency tuning loop. The DRFC

differential output is driven off-chip by a differential output buffer.

The I,Q 3-bit AE digital inputs are generated in MATLAB and loaded into the

RAM of a Xilinx Virtex-4 XC4VLX25 FPGA. The FPGA is programmed to provide

135

MATLAB

CLK/4

CLK

Figure 8-1: Test Chip 1 Block Diagram

de-serialized I,Q 12-bit digital inputs in low voltage differential signaling (LVDS) for-

mat [44] at a clock rate equal to 1/4 the DRFC sample rate, - 650 MHz. The FPGA

clock rate is limited to about 700 MHz. In addition, signal integrity of high speed

digital lines on the PCB and through the package becomes difficult to maintain at

sample rates higher than 700 MHz. 48 transmission lines containing the differential I

and Q 12-bit digital inputs are routed on the PCB from an AV bus connector inter-

facing the FPGA to the IC. The transmission lines are designed for a characteristic

impedance of 100 Q and terminated with on-board 200 Q differential resistors close

to the IC for each pair of differential inputs. An on-chip 4:1 multiplexor serializes

the data back into 3-bit I and Q digital bitstreams at the DRFC sample rate of 2.625

GS/s. The 4:1 multiplexor is implemented with source-coupled logic (SCL) and uses

a tree architecture.

The second test chip includes the modulator and LO path circuitry, and also

integrates the high speed digital processing, including 4x interpolation filters, AE

modulators, and digital-IF up-converter. A block diagram of the second test chip

is shown in Fig. 8-2. The second test chip does not use the 4:1 multiplexor. 11-bit

digital inputs from the FPGA at ' 650 MS/s interface to the digital block, where

136

.,,,,,,,,,,,,,,,,,,,,,,,,,,I

I r\ I

L .. ... .... ... .... ... ... .... ... .... ... ... .... ... .... ... ...

MATLAB CLK/411 11

Sinewaveor FPGA 11OFDM 11 Q

CHIP

Figure 8-2: Test Chip 2 Block Diagram

they are up-sampled by a factor of 4, filtered, and processed by the AE modulators.

Attention is paid in the layout to isolating the high speed digital circuitry from

the DRFC converter circuit. Separate power and ground are provided to the digital

circuits and RF circuits. The digital supplies are further sub-divided, with separate

power and ground assigned to the clock circuitry. Guard rings are placed around the

digital block, the DRFC cells, and the LC bandpass filter. Each of the guard rings

are tied to separate dedicated ground pads. Space is intentionally left between the

DRFC/BPF block and the digital block to minimize substrate coupling. In addition,

a BFMOAT layer is drawn on the empty space between blocks. This layer blocks

P-well and N-well implants, creating regions with higher substrate resistance.

All on-chip RF signals are differential to minimize coupling of noise and spurs.

In the first test chip, all digital signals use differential source-coupled logic. In the

second test chip, the digital inputs are brought in using source-coupled logic. They

are then converted into CMOS logic for lower power in the AE modulator. The

digital-IF outputs of the digital block are then converted back into source-coupled

logic to interface with the DRFC data drivers.

137

- - - - - -..... ----- ..... .... - ..... -- ...... .... ....... .....

Figure 8-3: Testing Setup

8.2 Test Setup

A diagram of the testing setup is shown in Fig. 8-3. Single-tone sine-waves and OFDM

QAM-modulated digital signals are applied as digital inputs to the modulator. The

modulator spurious performance is characterized using a spectrum analyzer at the

output frequency of 5.25 GHz.

Digital control inputs are used to select between direct up-conversion and digital-

IF up-conversion, and select between manual BPF tuning or automatic BPF tuning.

During testing, the filter is first placed in automatic tuning mode and the tuning

voltage is read out of the chip. The filter is then placed into manual tuning mode,

and the read out tuning voltage is dialed in using an on-board potentiometer.

The FPGA/IC interface requires synchronization between the two clock domains

to guarantee a reliable data interface. The FPGA clocks data out on its rising edge.

FPGA clock and data lines are routed with minimal skew to the IC. On the IC, data is

input to a first set of flip-flops that are clocked by the falling edge of the FPGA clock.

The data then goes to a second set of flip-flops that are clocked by an on-chip clock

derived from the 2.625 GHz clock using a divide by 4. It is possible that the data

transitions will violate the setup/hold requirements of these flip-flops. The simple

solution adopted here is that the FPGA clock can be inverted. This works because

138

12 MHz Sine-wave

5.15 5.2 5.25 5.3 5.35GHz

Figure 8-4: Test Chip 1 : 12 MHz Input

the flip-flops are edge-triggered on the rising edge. The phase relation between the

FGPA clock and IC clock is monitored through an on-chip phase detector whose

output is brought off-chip. If the phase detector output indicates a timing problem,

the FPGA clock is inverted.

8.3 Test Chip Results

Output spectrum plots from the first test chip are shown in the following 4 figures.

The resolution BW used in all plots is 1 MHz. The plots are normalized with respect

to the main signal's output power. Un-normalized output power was -5 dBm. Fig. 8-

4 shows the output spectrum with a 12 MHz sine-wave input. LO feedthrough and

image spurs are both less than -50 dBc. The 3rd harmonic of the baseband tone is

the largest spur, about -44 dBc. This distortion is believed to be due to the layout

mismatch described in Chapter 7, which caused a simulated 3rd harmonic of about

-48 dBc. The spur was present at the same level on three other measured test chips,

always on the opposite side of the LO from the main tone. This provides evidence that

139

102 MHz Sine-wave

5.15 5.2 5.25 5.3 5.35GHz

Figure 8-5: Test Chip 1 : 102 MHz Input

the mismatch is systematic, rather than random in nature. Behavioral simulations in

MATLAB show that for random mismatches, the 3rd harmonic will appear on either

side of the LO, depending on the particular mismatch present. In Fig. 8-4, higher

order distortion products of the 12 MHz tone appear as well, most notably at the 4th

and 5th harmonics. These spurs are all less than -55 dBc. They are attributed to

random mismatches.

Fig. 8-5 shows the output spectrum with a 102 MHz sine-wave. LO feedthrough

is approximately -46 dBc and image rejection is approximately 55 dB. The slightly

worse LO feedthrough results because the output tone is at the edge of the bandpass

filter passband and is attenuated slightly.

Fig. 8-6 shows a wideband plot with 2 GHz span. This shows that the bandpass

filter is effective in removing the out-of-band quantization noise of the 2nd order,

3-bit AE modulator. Also plotted in Fig. 8-6 is the spectrum generated by disabling

two bits of the DRFC, causing it to implement a 2nd order, 1-bit AE modulator.

The spectrum demonstrates the consequences of using a 1-bit modulator which has

much greater quantization noise that cannot be filtered completely.

140

Wideband Plot, 2 GHz Span

4.5 5 5.5 6GHz

Figure 8-6: Test Chip 1 : Wideband Plot

256-QAM OFDM

4.75 5.15 5.35 5.75GHz

Figure 8-7: Test Chip 1 : OFDM Signal

141

12 MHz Sine-wave

5.15 5.2 5.25 5.3 5.35GHz

Figure 8-8: Test Chip 2 : Direct Up-Conversion of 12 MHz Input

Fig. 8-7 shows the output spectrum of a 160 MHz 256-QAM OFDM signal. The

FCC spectral limits outside the 5.15-5.35 GHz UN-II band are also shown, indicating

that the spurious requirements are met.

Output power was higher on the second chip at -1 dBm due to an optimized filter

layout with less loss. The spectrum plots are normalized to 0 dB. Fig. 8-8 plots the

output spectrum with a 12 MHz input using direct up-conversion, i.e. the digital-IF

up-converter is not used. The 3rd harmonic is approximately -47 dBc due to the

same layout mismatch, image rejection is 50 dB, and other harmonics are less than

-55 dBc. The LO feedthrough is about -44 dBc. The results are similar to test chip 1,

indicating that the integration of the high speed AE modulators was successful. LO

feedthrough is slightly higher, and is attributed to coupling from the 2nd harmonic of

the AE clock frequency, which is exactly at 5.25 GHz. Unlike test chip 1, the second

test chip has full-swing CMOS clock drivers which can generate substantial harmonics

of the clock frequency. Fig. 8-9 shows the spectrum for two-tone inputs separated by

- 2 MHz. The IM3 products are -42 dBc, which corresponds to an OIP3 of 8.6 dBm.

The IM3 performance is limited by the linearity of the output amplifier which has a

142

Two-Tone Simulation-1U

-20

-30

-40

m -50

-60

-70

526 5 7 5.

5.265 5.27 5.275 5.28GHz

Figure 8-9: Test Chip 2 : Two-Tone Simulation

measured P-ldB of -1 dBm. When the output power is backed off, the IM3 products

approach -46 dBc, the contribution due to the distortion caused by layout mismatch

in the DRFC cells.

Fig. 8-10 plots the output spectrum when using the digital-IF up-converter. The

LO frequency is shifted to 5.25GHz + 2.625Gz, while the clock frequency remains

at 2.625GHz. The IF image is out-of-band. In-band image noise is below the noise

floor of the output spectrum. The 3rd harmonic remains again, due to the same

layout mismatch. LO feedthrough is expected to be eliminated as well since the LO

frequency has been shifted. A tone is still present, at about -38 dBc, due to the

coupling from the 2nd harmonic of the clock frequency. This spur can be removed by

moving the clock frequency to 2.4 GHz and adjusting the LO frequency accordingly.

Fig. 8-11 plots the resulting output spectrum. Here, the full benefits of the digital-IF

architecture are realized as both LO and image spurs are < -59 dBc. The only spur

remaining is the 3rd harmonic at -47 dBc. Measured SNDR is 43 dB. It is expected

that with the layout fix that was simulated and implemented on a new version, the

noise and distortion performance can be improved and the in-band spectrum will not

143

,,i I I

Test Chip 2 : Digital-IF

5.15 5.2 5.25 5.3GHz

5.35

Figure 8-10: Test Chip 2 : Digital-IF, 12 MHz

Test Chip 2 : Digital-IF

5.15 5.2 5.25 5.3GHz

5.35

Figure 8-11: Test Chip 2 : Digital-IF, 12 MHz, Shift Clock Frequency

144

Test Chip 2: Digital-IF WidebandU

-10-20

-30

cm -40

-50

-60

-70

4.5 5 5.5 6GHz

Figure 8-12: Test Chip 2 : Digital-IF, Wideband Plot

have any spurs greater than -55 dBc.

Fig. 8-12 shows a wideband plot of the digital-IF spectrum. The IF image is

far out-of-band, and rejected by a combination of the quadrature up-conversion and

bandpass filter. The LO spur is now - 600 MHz away from the desired signal. It is

about -50 dBc and limited by PCB coupling from the on-board LO signal to the RF

output line, not the IC.

Finally, Fig. 8-13, Fig. 8-14, and Fig. 8-15 show the output spectrum for a 200

MHz 256-QAM OFDM signal, a 20 MHz 64-QAM OFDM channel for the 802.11a

standard, and a pair of 20 MHz 256-QAM OFDM channels. Fig. 8-14 shows that

the modulator meets the spectral mask requirements for an 802.11a channel. The

results demonstrate how the wideband transmitter can be software-defined to support

multiple bandwidths, frequency channels, and modulation schemes. The transmitter

can also be used adaptively, sending data only on channels with good SNR, and

avoiding channels that have interferers.

The EVM of a 100 MHz 256-QAM OFDM signal was measured using the wideband

OFDM receiver test platform from the MIT WiGLAN project. The receiver was used

145

fclk=2.4 GHz

L ...i .... .- iiI I I I

200 MHz 256-QAM OFDM Signal

GHz

Figure 8-13: Test Chip 2 : 200 MHz OFDM Signal

802.11 a Channel

GHz

Figure 8-14: Test Chip 2 : 20 MHz OFDM Channel for 802.11a

146

35

-~--

Pair of 20 MHz 256-QAM OFDM Channels

EcO

Figure 8-15: Test Chip 2 :

35

5GHz

Pair of 20 MHz OFDM Channels

SNR vs Freq

[256QAMS64QAM016QAMF-4QAMIBPSKMNULL

-60 -40 -20 0Freq (MHz)

20 40 60

Figure 8-16: SNR Measurement using WiGLAN Receiver

147

·I·I I I I .... ·I I

r

Table 8.1: AE Modulator Power Consumption/Die Area

Power Consumption Die Area

Digital Block (I and Q) 120 mW @ 1.5 V .16 mm 2

Quadrature DRFC Core 10 mW 0 2.5 V .03 mm 2

Quadrature DRFC Data/Clock Drivers 33 mW 0 1.5 V Included in Core

LO Polyphase/Buffers 20 mW A 1.5 V .21 mm 2

BPF Tuning Circuitry 4 mW L 1.5 V, 2.5 V .12 mm 2

BPF 0 mW .2 mm2

Total 187 mW .72 mm 2

Total (including 0 dBm output amplifier) 227 mW 1 mm 2

to down-convert and digitize the RF output signal from the AE digital-RF modulator.

The digitized signal was then captured using an FPGA and processed with MATLAB

scripts. Measured SNR, the inverse of EVM, is plotted on a per sub-carrier basis in

Fig. 8-16.

The WiGLAN testing indicated that the test platform SNR was limited to - 30

dB by the resolution of the ADC. A reasonable estimate for the SNR of the AE

digital-RF modulator alone is around 30 dB. This would provide a composite SNR of

the transceiver of 27 dB, which is approximately the value of the SNR averaged over

all bins. 30 dB also agrees well with the measured SNDR of 43 dB. Since the OFDM

signal had a peak to average power ratio of 15 dB, an SNDR of 43 dB for a sine-wave

translates into an SNDR of 31 dB for the OFDM signal.

According to Fig. 8-16, almost every sub-carrier can support 64-QAM modulation

while several can support 256-QAM. Assuming 64-QAM modulation across all 200

MHz, the presented modulator can transmit a data rate of at least 1.2 Gb/s over its

intended bandwidth.

The power consumption and die area of the entire modulator integrated in test

148

Figure 8-17: Test Chip 1 Die Photo

Figure 8-18: Test Chip 2 Die Photo

149

Table 8.2: FOM Comparison

Digital-RF Modulator ENOB BW Power FOM

Eloranta [11] 8 20 MHz 60 mW 0.375 nJ/bit

Taleie [12] 11 15 MHz 122 mW 0.74 nJ/bit

This Work 7 200 MHz 187 mW 0.13 nJ/bit

chip 2 are summarized in Table 8.1. Die photos of both test chips are shown in

Fig. 8-17 and Fig. 8-18.

The modulator consumes 187 mW and occupies a die area of 0.72 mm2. A metric

that characterizes the energy/bit efficiency of an RF modulator is defined as

P 187e - 3 nJ

ENOB * BW 7 * 200e6 bit

In eqn. (8.1), ENOB stands for the effective number of bits. With an SNDR

of 43 dB, the ENOB is 7 bits. Since 2/3 of the power is consumed in the digital

processing, this FOM can be expected to improve with digital process scaling. Table

8.2 compares the energy/bit efficiency of our RF modulator with other digital-RF

converters reported in the literature. This work provides an order of magnitude

higher bandwidth than [11] and [12], and is also approximately 3 times and 6 times

more efficient, respectively.

A general figure of merit characterizing the energy/bit efficiency of a transmitter

system is (Power/Data Rate). For our modulator,

Power 187e - 3 nJS = 0.16 (8.2)

DataRate 1.2e9 bit

8.4 Power/Area Comparison

The wideband AE digital-RF modulator is compared to a conventional IQ modula-

tor in terms of power and area for 200 MHz bandwidth and 45 dB dynamic range.

Specifically, the AE digital-RF modulator replaces two high speed DACs, two analog

lowpass filters, and two analog mixers. The LO polyphase/buffer circuitry is common

150

Table 8.3: Conventional IQ Modulator Implementation

Power Consumption Die Area

(2) 10-bit 1 GS/s DACs 220 mW .7 mm2

(2) 2nd-order gm-C LPF, BW = 100 MHz 80 mW .4 mm 2

(2) 5 GHz Mixers 10 mW .03 mm2

Total 310 mW 1.13 mmn2

to both architectures and will be left out of the comparison. Without the LO path

circuits, the AE digital-RF modulator consumes 167 mW and occupies an area of -

0.5 mnm2

The DAC sampling rate in a conventional IQ modulator determines how far the

clock images are from the signal band and the required order of the analog filter. A

1 GHz sampling rate is chosen to reduce the filter complexity to a 2nd order filter.

Power and area numbers for a DAC and filter satisfying these specifications are then

found from published results [3] [45]. The mixer power and area is assumed to be

equal to the power and area of the DRFC core. Table 8.3 lists the power and area

figures for the conventional IQ modulator. Our architecture consumes about half the

power and occupies less than half the area. In addition, the digital-RF modulator

provides greater integration capability and greater potential for improvement with

digital CMOS scaling.

151

152

Chapter 9

Conclusion

The AE digital-RF modulator is a power and area efficient modulator for wideband

systems. Measured results demonstrate 1.2 Gb/s data rates over 200 MHz RF band-

width at 5.25 GHz using OFDM modulation. The fabricated modulator consumes

187 mW and occupies a die area of 0.72 mm 2. The AE digital-RF modulator relies

on high speed digital circuits instead of high dynamic range analog circuits. The

architecture is attractive because the power and area savings versus conventional

IQ modulators is expected to increase as digital CMOS scaling continues. Dynamic

range performance of the transmitter is not limited by the noise, linearity, and power

tradeoffs fomnd in analog design. The output spectrum of the modulator is free from

in-band LO feedthrough and image signals due to the use of a quadrature digital-

IF scheme. Thus, excellent transmitter spurious performance, suitable for complex

modulation formats such as 256-QAM, is possible.

The wideband digital modulator enables the design of flexible, software-defined

transmitters. This IC can transmit multiple bandwidths up to 200 MHz, and multiple

modulation schemes up to 256-QAM. Furthermore, it can vary the usage of different

channels depending on the channel conditions. A fixed frequency LO can be used

since the channel selection is done in the digital domain.

153

Table 9.1: Element Rotation Algorithm

3-bit Digital Input

100

001

011

010

110

Unit Cell Usage

1111000

0000100

1000011

0110000

1101111

9.1 Future Directions

9.1.1 Mismatch Shaping

The SNDR performance of the multi-bit DRFC is ultimately determined by how well

the LO path unit cells match. Current source calibration [46] can reduce mismatches

between the tail current sources, but does not influence mismatches associated with

high frequency effects in the LO path. Mismatch shaping [47] [43] [48] [49] is a

technique that noise-shapes the error due to element mismatch through an element

selection algorithm. The noise-shaping causes the error to lie outside the AE signal

bandwidth, improving the SNR within the signal band.

The key issue in employing mismatch-shaping for the AE DRFC involves reducing

the complexity and power of the required high speed digital hardware. A mismatch

shaper for a 3-bit 2 GS/s AE DAC was presented in [50], but consumes 3.1 W.

We investigate the performance of a lst-order mismatch noise shaper with mis-

match transfer function of H(Z) = 1 - z - 1 for its simplicity. 1st order mismatch noise

shaping can be efficiently implemented using an algorithm known as element rotation

[51] or data-weighted averaging [48]. The algorithm picks which elements to use by

rotating around an array of unit cells. Table 9.1 illustrates this for a 3-bit DAC by

showing how unit cells are selected for the sequence of digital inputs 4,1,3,2, and 6.

A hardware implementation for element rotation is shown in Fig. 9-1 [29]. It

consists of an 8-bit thermometer decoder, a 3-bit accumulator, and an 8-bit barrel

shifter. The implementation was added to the MATLAB mismatch simulation model

154

Figure 9-1: Element Rotation Hardware Implementation

2nd Order 3-bit AX: SNDR (Mean) vs. Mismatch

Percent Mismatch

Figure 9-2: Behavioral Model Simulation using Element Rotation

155

BIT!

JT

to compare 1st order mismatch shaping to no mismatch shaping. Fig. 9-2 plots

the simulated SNDR versus percent mismatch with and without 1st order mismatch

shaping, for a bandwidth of 200 MHz and a clock frequency of 2.5 GHz. The rotation

algorithm is effective in shaping virtually all the mismatch noise out-of-band, even for

mismatches as high as 16 percent. At that level of mismatch, a non-mismatch-shaped

DRFC achieves an SNDR of only 30 dB. The element rotation implementation appears

to be a practical solution to mismatches. Hardware requirements are reasonable when

the number of thermometer bits is small, as is the case with a 3-bit AE.

Another area of research is to push the dynamic range performance even higher,

towards 70 dB or 80 dB. For example, one can increase the resolution of the multi-bit

quantizer, increase the order of the noise-shaping, or increase the OSR further. Any

changes to the modulator design will also impact the requirements of the bandpass

filter.

The modulator has demonstrated its potential for use as a universal transmitter

targeting applications in the 5.25 GHz UN-II band. A further improvement would

involve being able to program the transmitter for operation in multiple frequency

bands. A multi-band PLL would be required to generate a wide range of frequencies

for the LO. A key challenge would be to make the RF bandpass filter tunable over the

same range of frequencies. This may involve using multiple staggered bandpass filters

that are selectable. Another area for additional programmability is automatic gain

control. The modulator output power can be varied in the digital domain, but its

SNDR will eventually be limited at low output powers by the fixed quantization noise

of the AE modulator. An RF variable gain amplifier (VGA) following the modulator

can be used to provide variable gain with greater gain control range.

A final aspect of wideband transmitters not addressed yet is the design of an

efficient wideband PA. Traditional PAs use low loss matching networks to achieve

high efficiency over narrow bandwidths. Optimizing the efficiency and gain of a PA

over a wide bandwidth involves additional design issues.

156

Bibliography

[1] R. Howald, "QAM Bulks Up Once Again : Modulation to the Power of 10,"

http://broadband.motorola.com/ips/pdf/QAM.pdf.

[2] "Part 11 : Wireless LAN Medium Access Control (MAC) and Physical Layer

(PHY) Specifications," IEEE Std 802.11, 1999.

[3] A. V. den Bosch, M. Borremans, M. Steyaert, and W. Sansen, "A 10-bit 1-

GSample/s Nyquist Current Steering CMOS D/A Converter," IEEE J. Solid-

State Circuits, vol. 36, no. 3, pp. 315-324, March 2001.

[4] B. Schafferer and R. Adams, "A 3v CMOS 400mW 14b 1.4GS/s DAC for Multi-

Carrier Applications," in International Solid-State Circuits Conference, 2004,

pp. 360-361.

[5] W. Schofield, D. Mercer, and L. S. Onge, "A 16b 400MS/s DAC with < -

160dBm/Hz Noise Power Spectral Density," in International Solid-State Circuits

Conference, 2003, pp. 126-127.

[6] F. Rezzi, I. Bietti, M. Cazzaniga, and R. Castello, "A 70-mW Seventh-Order

Filter with 7-50 MHz Cutoff Frequency and Programmable Boost and Group

Delay Equalization," IEEE J. Solid-State Circuits, vol. 32, no. 12, pp. 1987-

1998. December 1997.

[7] M. Perrott, T. Tewksbury, and C. Sodini, "A 27-mW CMOS Fractional-N Syn-

thesizer Using Digital Compensation for 2.5-Mb/s GFSK Modulation," IEEE J.

Solid-State Circuits, vol. 32, no. 12, pp. 2048-2060, 1997.

157

[8] L. E. Larson, Ed., RF and Microwave Circuit Design For Wireless Communica-

tions. Artech House, 1996.

[9] J. Candy and G. Temes, Oversampling Delta-Sigma Data Converters. IEEE

Press, 1992.

[10] S. Luschas, R. Schreier, and H. Lee, "Radio Frequency Digital-to-Analog Con-

verter," IEEE J. Solid-State Circuits, vol. 39, no. 9, pp. 1462-1467, September

2004.

[11] P. Eloranta and P. Seppinen, "Direct-Digital RF Modulator IC in 0.13 pm CMOS

for Wide-Band Multi-Radio Applications," in ISSCC, 2005, pp. 532-533.

[12] S. M. Taleie, T. Copani, B. Bakkaloglu, and S. Kiaei, "A Bandpass Delta-Sigma

RF-DAC with Embedded FIR Reconstruction Filter," in ISSCC, 2006, pp. 578-

579.

[13] D. Su and B. Wooley, "A CMOS Oversampling D/A Converter with a Current-

Mode Semidigital Reconstruction Filter," IEEE J. Solid-State Circuits, vol. 28,

no. 12, pp. 1224-1233, December 1993.

[14] A. Zverev, Handbook of Filter Synthesis. J. Wiley and Sons, Inc., 1967.

[15] F. Rotella, D. Howard, M. Racanelli, and P. Zampardi, "Characterizing and

Otimizing High Q Inductors for RFIC Design in Silicon Processes," in IEEE

Radio Frequency Integrated Circuits Symposium, 2003, pp. 339-342.

[16] A. Kral, F. Behbahani, and A. Abidi, "RF CMOS Oscillators with switched

tuning," in Custom Integrated Circuits Conference, 1998, pp. 555-558.

[17] A. Bonfanti, S. Levantino, C. Samori, and A. Lacaita, "A Varactor Configuration

Minimizing the Amplitude-to-Phase Noise Conversion in VCOs," IEEE J. Solid-

State Circuits, vol. 53, no. 3, pp. 481-488, March 2006.

158

[18] X. He and W. Kuhn, "A 2.5 GHz Low Power, High Dynamic Range, Self-Tuned

Q Enhanced LC Filter in SOI," IEEE J. Solid-State Circuits, vol. 40, no. 8, pp.

1618-1628, August 2005.

[19] H. Khorramabadi and P. Gray, "High-frequency CMOS Continuous-Time Fil-

ters," IEEE J. Solid-State Circuits, vol. SC-19, no. 6, pp. 939-948, December

1984.

[20] B. Gilbert, "A Precise Four-Quadrant Multiplier with Subnanosecond Re-

sponse," IEEE J. Solid-State Circuits, vol. SC-3, no. 4, pp. 365-373, December

1968.

[21] R. Duncan, K. Martin, and A. Sedra, "A Q-Enhanced Active-RLC Bandpass

Filter," IEEE Trans. Circuits Syst. II, vol. 44, no. 5, pp. 341-347, May 1997.

[22] T. Soorapanth and S. Wong, "A 0-dB IL 2140 +/- 30 MHz Bandpass Filter

Utilizing Q-Enhanced Spiral Inductors in Standard CMOS," IEEE J. Solid-State

Circuits, vol. 37, no. 5, pp. 579-586, May 2002.

[23] W. Kuhn, D. Nobbe, D. Kelly, and A. Orsborn, "Dynamic Range Performance

of On- Chip RF Bandpass Filters," IEEE Trans. Circuits Syst. II, vol. 50, no. 10,

pp. 685-694, October 2003.

[24] D. Hodges, H. Jackson, and R. Saleh, Analysis and Design of Digital Integrated

CircuitIs, 3rd ed. McGraw Hill, 2004.

[25] A. vain der Ziel, "Thermal Noise in Field Effect Transistors," in Proc. IEEE,

Aug. 1962, pp. 1801-1812.

[26] A. Abidi, "High-Frequency Noise Measurements on FETs with Small Dimen-

sions," IEEE Trans. Electron Devices, vol. ED-33, no. 11, pp. 1801-1805, Novem-

ber 1986.

[27] J. Steininger, "Understanding Wide-Band MOS Transistors," IEEE J. Solid-

State Circuits, vol. 6, no. 3, pp. 26-31, May 1990.

159

[28] R. Schreier, "An empirical study of high-order single-bit delta-sigma modula-

tors," IEEE Trans. Circuits Syst. II, vol. 40, no. 8, pp. 461-466, August 1993.

[29] S. Norsworthy, R. Schreier, and G. Temes, Eds., Delta-Sigma Data Converters

: Theory, Design, and Simulation. IEEE PRESS, 1997.

[30] L. Longo and M. Copeland, "A 13 bit ISDN-band oversampled ADC using two-

stage third-order noise shaping," in Custom Integrated Circuits Conference, 1988,

pp. 21.2.1-21.2.4.

[31] "Radio Frequency Devices," in Title 47 - Telecommunications, Chapter 1, Part

15. Federal Communications Commission, 2006, p. 128.

[32] R. Schreier, "Matlab Delta-Sigma Toolbox,"

http://www.mathworks.com/support/ftp/controlssv5.shtml.

[33] ECMA-368, "High Rate Ultra Wideband PHY and MAC Standard," www.ecma-

international.org, December 2005.

[34] J. Vankka, J. Sommarek, J. Ketola, I. Teikari, and K. Halonen, "A Digital

Quadrature Modulator With On-Chip D/A Converter," IEEE J. Solid-State

Circuits, vol. 38, no. 10, pp. 1635-1642, October 2003.

[35] J. Rabaey, A. Chandrakasan, and B. Nikolic, Digital Integrated Circuits A Design

Perspective, 2nd ed., C. G. Sodini, Ed. Prentice Hall, 2003.

[36] J. Candy and A. Huynh, "Double interpolation for digital-to-analog conversion,"

IEEE Trans. Commun., vol. COM-34, pp. 77-81, 1986.

[37] M. Matsui, H. Hara, Y. Uetani, L. Kim, T. Nagamatsu, Y. Watanabe, A. Chiba,

K. Matsuda, and T. Sakurai, "A 200 MHz 13 mm2 2-D DCT Macrocell Us-

ing Sense-Amplifying Pipeline Flip-Flop Scheme," IEEE J. Solid-State Circuits,

vol. 29, no. 12, pp. 1482-1490, December 1994.

160

[38] T. Gemmeke, M. Gansen, H. Stockmanns, and T. Noll, "Design Optimization

of Low-Power High Performance DSP Building Blocks," IEEE J. Solid-State

Circuits, vol. 39, no. 7, pp. 1131-1139, July 2004.

[39] B. Nikolic, V. Oklobdzija, V. Stoyanovic, W. Jia, J. Chiu, and M. Leung, "Im-

proved Sense-Amplifier-Based Flip-Flop : Design and Measurements," IEEE J.

Solid-State Circuits, vol. 35, no. 6, pp. 876-884, June 2000.

[40] M. Pelgrom, C. Duinmaijer, and A. Welbers, "Matching Properties of MOS

Transistors," IEEE Trans. Circuits Syst. II, vol. 24, pp. 1433-1439, October

1989.

[41] K. Doris, A. van Roermund, and D. Leenaerts, "Mismatch-Based Timing Errors

in Current Steering DACs," in ISCAS, 2003, pp. 977-980.

[42] K. Doris, J. Briare, D. Leenaerts, M. Vertregt, and A. van Roermund, "A 12b

500 MS/s DAC with > 70 dB SFDR up to 120 MHz in 0.18pm CMOS," in

International Solid-State Circuits Conference, 2005, pp. 116-117.

[43] F. Chen and B. Leung, "A High Resolution Multibit Sigma-Delta Modulator

with Individual Level Averaging," IEEE J. Solid-State Circuits, vol. 30, no. 4,

pp. 453-459, April 1995.

[44] M. Adhiwiyogo, "Virtex-4 High-Speed Single Data Rate LVDS Transceiver,"

Application Note : Virtex-4 Family, August 2005.

[45] A. Carusone and D. Johns, "A 5th Order Gm-C Filter in 0.25uM CMOS with

Digitally Programmable Poles and Zeroes," in Custom Integrated Circuits Con-

ference, 2002, pp. 635-638.

[46] D. Wouter, J. Groeneveld, H. Shouwenaars, H. Termeer, and C. Bastiaansen, "A

Self-Calibration Technique for Monolithic High-Resolution D/A Converters,"

IEEE J. Solid-State Circuits, vol. 24, pp. 1517-1522, December 1989.

161

[47] I. Galton, "Spectral Shaping of Circuit Errors in Digital-to-Analog Converters,"

IEEE Trans. Circuits Syst. II, vol. 44, no. 10, pp. 808-817, October 1997.

[48] R. Baird and T. Fiez, "Linearity Enhancement of Multibit 6a A/D and D/A

Converters Using Data Weighted Averaging," IEEE Trans. Circuits Syst. II,

vol. 42, no. 12, pp. 753-762, December 1995.

[49] T. Shui, R. Schreier, and F. Hudson, "Mismatch Shaping for a Current-Mode

Multibit Delta-Sigma DAC," IEEE J. Solid-State Circuits, vol. 34, no. 3, pp.

331-338, March 1999.

[50] T. Kaplan, J. Jensen, C. Fields, and F. Chang, "A 2 GS/s 3-bit 3a-Modulated

DAC With Tunable Bandpass Mismatch Shaping," IEEE J. Solid-State Circuits,

vol. 4, no. 3, pp. 603-610, March 2005.

[51] H. Jackson, "Circuit and method for cancelling nonlinearity error associated with

component value mismatches in a data converter," U.S. Patent 5 221 926, June

1993.

162