A Low-Power Single-Bit Continuous-time DS Converter with 92.5dB Dynamic Range and design of Low-Voltage Σ ADCs

Similar documents
A Low-Power Single-Bit Continuous-Time ΔΣ Converter with 92.5 db Dynamic Range for Biomedical Applications

Integrated Microsystems Laboratory. Franco Maloberti

Summary Last Lecture

Oversampling Converters

A K-Delta-1-Sigma Modulator for Wideband Analog-to-Digital Conversion

ECE 627 Project: Design of a High-Speed Delta-Sigma A/D Converter

Appendix A Comparison of ADC Architectures

A 1 GS/s, 31 MHz BW, 76.3 db Dynamic Range, 34 mw CT-ΔΣ ADC with 1.5 Cycle Quantizer Delay and Improved STF

ECEN 610 Mixed-Signal Interfaces

A Continuous-time Sigma-delta Modulator with Clock Jitter Tolerant Self-resetting Return-to-zero Feedback DAC

INF4420. ΔΣ data converters. Jørgen Andreas Michaelsen Spring 2012

EE247 Lecture 24. EE247 Lecture 24

A 12 Bit Third Order Continuous Time Low Pass Sigma Delta Modulator for Audio Applications

Design of Continuous Time Multibit Sigma Delta ADC for Next Generation Wireless Applications

EE247 Lecture 26. This lecture is taped on Wed. Nov. 28 th due to conflict of regular class hours with a meeting

The Case for Oversampling

Lecture #6: Analog-to-Digital Converter

DELTA SIGMA modulation is well suited for high-resolution

A 98dB 3.3V 28mW-per-channel multibit audio DAC in a standard 0.35µm CMOS technology

NPTEL. VLSI Data Conversion Circuits - Video course. Electronics & Communication Engineering.

Sigma-Delta ADC Tutorial and Latest Development in 90 nm CMOS for SoC

A Novel Dual Mode Reconfigurable Delta Sigma Modulator for B-mode and CW Doppler Mode Operation in Ultra Sonic Applications

Design Examples. MEAD March Richard Schreier. ANALOG DEVICES R. SCHREIER ANALOG DEVICES, INC.

Analog-to-Digital Converters

How to turn an ADC into a DAC: A 110dB THD, 18mW DAC using sampling of the output and feedback to reduce distortion

MASH 2-1 MULTI-BIT SIGMA-DELTA MODULATOR FOR WLAN L 2 ( ) ( ) 1( 1 1 1

EE247 Lecture 26. EE247 Lecture 26

Low-Power Pipelined ADC Design for Wireless LANs

BandPass Sigma-Delta Modulator for wideband IF signals

Summary Last Lecture

A 2.5 V 109 db DR ADC for Audio Application

2011/12 Cellular IC design RF, Analog, Mixed-Mode

Architectures and Design Methodologies for Very Low Power and Power Effective A/D Sigma-Delta Converters

Paper presentation Ultra-Portable Devices

EE247 Lecture 26. EE247 Lecture 26

A/D Conversion and Filtering for Ultra Low Power Radios. Dejan Radjen Yasser Sherazi. Advanced Digital IC Design. Contents. Why is this important?

3 rd order Sigma-delta modulator with delayed feed-forward path for low-power applications

EE247 Lecture 27. EE247 Lecture 27

RELAXED TIMING ISSUE IN GLOBAL FEEDBACK PATHS OF UNITY- STF SMASH SIGMA DELTA MODULATOR ARCHITECTURE

Cascaded Noise-Shaping Modulators for Oversampled Data Conversion

A 9.35-ENOB, 14.8 fj/conv.-step Fully- Passive Noise-Shaping SAR ADC

Design of Tunable Continuous-Time Quadrature Bandpass Delta-Sigma Modulators

On the Study of Improving Noise Shaping Techniques in Wide Bandwidth Sigma Delta Modulators

Advanced Operational Amplifiers

NOISE IN SC CIRCUITS

Reconfigurable Low-Power Continuous-Time Sigma-Delta Converter for Multi- Standard Applications

A stability-improved single-opamp third-order ΣΔ modulator by using a fully-passive noise-shaping SAR ADC and passive adder

Lecture 10, ANIK. Data converters 2

Design of Bandpass Delta-Sigma Modulators: Avoiding Common Mistakes

DESIGN OF MULTI-BIT DELTA-SIGMA A/D CONVERTERS

Second-Order Sigma-Delta Modulator in Standard CMOS Technology

The Baker ADC An Overview Kaijun Li, Vishal Saxena, and Jake Baker

EE247 Lecture 22. Figures of merit (FOM) and trends for ADCs How to use/not use FOM. EECS 247 Lecture 22: Data Converters 2004 H. K.

Basic Concepts and Architectures

Cascaded Noise Shaping for Oversampling A/D and D/A Conversion Bruce A. Wooley Stanford University

Oversampling Data Converters Tuesday, March 15th, 9:15 11:40

Lecture 3 Switched-Capacitor Circuits Trevor Caldwell

Architecture for Electrochemical Sensors

A VCO-based analog-to-digital converter with secondorder sigma-delta noise shaping

Advanced AD/DA converters. Higher-Order ΔΣ Modulators. Overview. General single-stage DSM. General single-stage DSM II ( 1

Advanced AD/DA converters. ΔΣ DACs. Overview. Motivations. System overview. Why ΔΣ DACs

Low-Complexity High-Order Vector-Based Mismatch Shaping in Multibit ΔΣ ADCs Nan Sun, Member, IEEE, and Peiyan Cao, Student Member, IEEE

ISSCC 2004 / SESSION 25 / HIGH-RESOLUTION NYQUIST ADCs / 25.4

CHAPTER. delta-sigma modulators 1.0

Design of Pipeline Analog to Digital Converter

Revision History. Contents

Improved SNR Integrator Design with Feedback Compensation for Modulator

Low-power Sigma-Delta AD Converters

A 25MS/s 14b 200mW Σ Modulator in 0.18µm CMOS

Advanced AD/DA converters. Higher-Order ΔΣ Modulators. Overview. General single-stage DSM II. General single-stage DSM

Performance Improvement of Delta Sigma Modulator for Wide-Band Continuous-Time Applications

IN RECENT YEARS, there has been an explosive demand

A New Current-Mode Sigma Delta Modulator

Improved offline calibration for DAC mismatch in low OSR Sigma Delta ADCs with distributed feedback

Implementation of Binary DAC and Two step ADC Quantizer for CTDS using gpdk45nm

CONTINUOUS-TIME DELTA-SIGMA MODULATORS WITH ENHANCED NOISE-SHAPED QUANTIZER

A Triple-mode Sigma-delta Modulator Design for Wireless Standards

Design and Implementation of a Sigma Delta ADC By: Moslem Rashidi, March 2009

Understanding Delta-Sigma Data Converters

A General Formula for Impulse-Invariant Transformation for Continuous-Time Delta-Sigma Modulators Talebzadeh, J. and Kale, I.

Design And Simulation Of First Order Sigma Delta ADC In 0.13um CMOS Technology Jaydip H. Chaudhari PG Student L. C. Institute of Technology, Bhandu

Analog to Digital Conversion

IF-Sampling Digital Beamforming with Bit-Stream Processing. Jaehun Jeong

EE247 Lecture 26. EE247 Lecture 26

ADVANCES in VLSI technology result in manufacturing

Combining Multipath and Single-Path Time-Interleaved Delta-Sigma Modulators Ahmed Gharbiya and David A. Johns

AN ABSTRACT OF THE DISSERTATION OF

K-Delta-1-Sigma Analog-to-Digital Converters

DESIGN HIGH SPEED, LOW NOISE, LOW POWER TWO STAGE CMOS OPERATIONAL AMPLIFIER. Himanshu Shekhar* 1, Amit Rajput 1

Comparator Design for Delta Sigma Modulator

THE USE of multibit quantizers in oversampling analogto-digital

INTRODUCTION TO DELTA-SIGMA ADCS

System Level Design of a Continuous-Time Delta-Sigma Modulator for Portable Ultrasound Scanners

A 102-dB-SNR mixed CT/DT ADC with capacitor digital self-calibration for RC spread compensation

BANDPASS delta sigma ( ) modulators are used to digitize

Research and Development Activities in RF and Analog IC Design. RFIC Building Blocks. Single-Chip Transceiver Systems (I) Howard Luong

Design of Miller Compensated Two-Stage Operational Amplifier for Data Converter Applications

A Novel Continuous-Time Common-Mode Feedback for Low-Voltage Switched-OPAMP

A Successive Approximation ADC based on a new Segmented DAC

Design & Implementation of an Adaptive Delta Sigma Modulator

Transcription:

A Low-Power Single-Bit Continuous-time DS Converter with 92.5dB Dynamic Range and design of Low-Voltage Σ ADCs Sakkarapani Balagopal and Vishal Saxena* Department of Electrical and Computer Engineering Boise State University, ID IEEE Subthreshold Microelectronics Conference 2011 Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 1/34

Outline 1 Introduction 2 Architecture 3 System Design 4 Circuit Design 5 Simulation 6 Low-Voltage Design 7 Conclusion Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 2/34

Motivation Demonstrate a low-power CT- Σ ADC in the subthreshold optimized XLP2 process run ADC for Biomedical Signal Processing (BSP) chain requires Signal bandwidth of 1-6 KHz 14 bits resolution, low-power consumption Applications: Electro-cardiogram (ECG), Electroencephalogram (EEG), Evoked potential (EP), etc. ADC Architecture Delta-sigma ADC higher resolution, robust to device mismatch in nano-cmos Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 3/34

Motivation Demonstrate a low-power CT- Σ ADC in the subthreshold optimized XLP2 process run ADC for Biomedical Signal Processing (BSP) chain requires Signal bandwidth of 1-6 KHz 14 bits resolution, low-power consumption Applications: Electro-cardiogram (ECG), Electroencephalogram (EEG), Evoked potential (EP), etc. ADC Architecture Delta-sigma ADC higher resolution, robust to device mismatch in nano-cmos Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 3/34

Motivation Demonstrate a low-power CT- Σ ADC in the subthreshold optimized XLP2 process run ADC for Biomedical Signal Processing (BSP) chain requires Signal bandwidth of 1-6 KHz 14 bits resolution, low-power consumption Applications: Electro-cardiogram (ECG), Electroencephalogram (EEG), Evoked potential (EP), etc. ADC Architecture Delta-sigma ADC higher resolution, robust to device mismatch in nano-cmos Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 3/34

Continuous-time CT- Σ ADC Comprises of continuous-time loop filter,l(s), and a low resolution quantizer Output noise in signal band is suppressed by the noise-shaping loop Decimation filter is a synthesized digital block Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 4/34

Continuous-time CT- Σ ADC Comprises of continuous-time loop filter,l(s), and a low resolution quantizer Output noise in signal band is suppressed by the noise-shaping loop Decimation filter is a synthesized digital block Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 4/34

Continuous-time CT- Σ ADC Comprises of continuous-time loop filter,l(s), and a low resolution quantizer Output noise in signal band is suppressed by the noise-shaping loop Decimation filter is a synthesized digital block Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 4/34

Why Continuous-time Σ ADC? Low-power consumption compared to DT- Σ ADC Relaxed performance requirement for the integrators (opamps) Inherent anti-alias filtering (AAF) of CT ΔΣ Modulator Fixed resistive input impedance Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 5/34

Why Continuous-time Σ ADC? Low-power consumption compared to DT- Σ ADC Relaxed performance requirement for the integrators (opamps) Inherent anti-alias filtering (AAF) of CT ΔΣ Modulator Fixed resistive input impedance Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 5/34

Why Continuous-time Σ ADC? Low-power consumption compared to DT- Σ ADC Relaxed performance requirement for the integrators (opamps) Inherent anti-alias filtering (AAF) of CT ΔΣ Modulator Fixed resistive input impedance Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 5/34

Why Continuous-time Σ ADC? Low-power consumption compared to DT- Σ ADC Relaxed performance requirement for the integrators (opamps) Inherent anti-alias filtering (AAF) of CT ΔΣ Modulator Fixed resistive input impedance Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 5/34

Continuous-time DS ADC for BSP Target 6 KHz Bandwidth 15 bit resolution OSR = 512 (fs = 6.144MHz) Order of L(s) = 3 0.15μm FD-SOI process < 100µA current from a 1.5V supply Architecture choice Single-bit quantizer Distributed feed-forward summation (CIFF) architecture OBG =1.5 (for loop stability) Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 6/34

Continuous-time DS ADC for BSP Target 6 KHz Bandwidth 15 bit resolution OSR = 512 (fs = 6.144MHz) Order of L(s) = 3 0.15μm FD-SOI process < 100µA current from a 1.5V supply Architecture choice Single-bit quantizer Distributed feed-forward summation (CIFF) architecture OBG =1.5 (for loop stability) Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 6/34

Single-bit vs Multi-bit Quantizer Single-bit Quantizer Multi-bit Quantizer Simple hardware High jitter sensitivity 1-bit DAC is inherently linear Large opamp slew rate requirements Out-of-band gain (OBG) 1.5 Low power dissipation Complex hardware Low jitter sensitivity DAC non-linearity (DEM/DWA) Reduced slew rate requirements OBG 4 (aggressive NTF) Higher power dissipation Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 7/34

Modulator Architecture u t 1 2 3 k3 c t fs n v n k2 k1 Loop-filter largely processes the quantization noise First opamp consumes more power better linearity and smaller input referred noise First integrator needs to be fastest in CIFF Last opamp is slowest and lowest power Out-of-band peaking in signal transfer function (STF ) Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 8/34

Modulator Architecture u t 1 2 3 k3 c t fs n v n k2 k1 Loop-filter largely processes the quantization noise First opamp consumes more power better linearity and smaller input referred noise First integrator needs to be fastest in CIFF Last opamp is slowest and lowest power Out-of-band peaking in signal transfer function (STF ) Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 8/34

Modulator Architecture u t 1 2 3 k3 c t fs n v n k2 k1 Loop-filter largely processes the quantization noise First opamp consumes more power better linearity and smaller input referred noise First integrator needs to be fastest in CIFF Last opamp is slowest and lowest power Out-of-band peaking in signal transfer function (STF ) Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 8/34

Modulator Architecture u t 1 2 3 k3 c t fs n v n k2 k1 Loop-filter largely processes the quantization noise First opamp consumes more power better linearity and smaller input referred noise First integrator needs to be fastest in CIFF Last opamp is slowest and lowest power Out-of-band peaking in signal transfer function (STF ) Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 8/34

Modulator Architecture u t 1 2 3 k3 c t fs n v n k2 k1 Loop-filter largely processes the quantization noise First opamp consumes more power better linearity and smaller input referred noise First integrator needs to be fastest in CIFF Last opamp is slowest and lowest power Out-of-band peaking in signal transfer function (STF ) Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 8/34

Continuous-time DS ADC CT-ΔΣ ADC is sensitive to Excess loop delay Comparator delay is τ d = 100ps T s Finite operational amplifier gain and gain-bandwidth product Clock Jitter Effect of jitter on SNR for NRZ is J = σ2 Ts T 2 s σ 2 LSB πosr π 0 ( 1 e jw) NTF ( e jw) 2 dω SJNR = 111.7dB σ j = 100 ps for f s = 6.144 MHz is not an issue for 15-bit resolution RC time-constant variation Digital tuning method using a programmable capacitor bank (using σ 2 δv statistics) Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 9/34

Continuous-time DS ADC CT-ΔΣ ADC is sensitive to Excess loop delay Comparator delay is τ d = 100ps T s Finite operational amplifier gain and gain-bandwidth product Clock Jitter Effect of jitter on SNR for NRZ is J = σ2 Ts T 2 s σ 2 LSB πosr π 0 ( 1 e jw) NTF ( e jw) 2 dω SJNR = 111.7dB σ j = 100 ps for f s = 6.144 MHz is not an issue for 15-bit resolution RC time-constant variation Digital tuning method using a programmable capacitor bank (using σ 2 δv statistics) Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 9/34

Continuous-time DS ADC CT-ΔΣ ADC is sensitive to Excess loop delay Comparator delay is τ d = 100ps T s Finite operational amplifier gain and gain-bandwidth product Clock Jitter Effect of jitter on SNR for NRZ is J = σ2 Ts T 2 s σ 2 LSB πosr π 0 ( 1 e jw) NTF ( e jw) 2 dω SJNR = 111.7dB σ j = 100 ps for f s = 6.144 MHz is not an issue for 15-bit resolution RC time-constant variation Digital tuning method using a programmable capacitor bank (using σ 2 δv statistics) Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 9/34

Continuous-time DS ADC CT-ΔΣ ADC is sensitive to Excess loop delay Comparator delay is τ d = 100ps T s Finite operational amplifier gain and gain-bandwidth product Clock Jitter Effect of jitter on SNR for NRZ is J = σ2 Ts T 2 s σ 2 LSB πosr π 0 ( 1 e jw) NTF ( e jw) 2 dω SJNR = 111.7dB σ j = 100 ps for f s = 6.144 MHz is not an issue for 15-bit resolution RC time-constant variation Digital tuning method using a programmable capacitor bank (using σ 2 δv statistics) Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 9/34

Continuous-time DS ADC CT-ΔΣ ADC is sensitive to Excess loop delay Comparator delay is τ d = 100ps T s Finite operational amplifier gain and gain-bandwidth product Clock Jitter Effect of jitter on SNR for NRZ is J = σ2 Ts T 2 s σ 2 LSB πosr π 0 ( 1 e jw) NTF ( e jw) 2 dω SJNR = 111.7dB σ j = 100 ps for f s = 6.144 MHz is not an issue for 15-bit resolution RC time-constant variation Digital tuning method using a programmable capacitor bank (using σ 2 δv statistics) Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 9/34

Loop-filter Coefficient Tuning 0 Discrete Time Loop Filter L(Z) ς 20 Sampled integrator and loop-filter outputs l 0 u t ς 1+ς 0 Continuous Time Loop Filter L(s) lc(t) lc[n] 15 l 1 l 2 l 3 y c ρ(t-ς) 10 0 0 0 t 5 0 u t ς 1+ς 1 t 2 t 3 t 3 c t s n 0 1 2 3 4 5 6 7 8 ρ(t-ς) 2 1 Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 10/34

Loop-filter Coefficient Tuning Loop-filter coefficients are typically determined using the Schreier s ΔΣ Toolbox [2] Algorithm If the sampled outputs of the direct path and the integrators are given by l 0 [n], l 1 [n], l 2 [n] and l 3 [n], and the open-loop impulse response is l[n]. Here, Z(l[n]) = L(z) = 1 NTF (z) 1. The coefficients K = [ k 0 k 1 k 2 k 3 ] T are determined by solving [ l 0 [n] l 1 [n] l 2 [n] l 3 [n] ] K = l[n] Solved using LMS data fitting for N samples (pseudo-inverse of the matrix). Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 11/34

Loop-filter Coefficient Tuning Loop-filter coefficients are typically determined using the Schreier s ΔΣ Toolbox [2] Algorithm If the sampled outputs of the direct path and the integrators are given by l 0 [n], l 1 [n], l 2 [n] and l 3 [n], and the open-loop impulse response is l[n]. Here, Z(l[n]) = L(z) = 1 NTF (z) 1. The coefficients K = [ k 0 k 1 k 2 k 3 ] T are determined by solving [ l 0 [n] l 1 [n] l 2 [n] l 3 [n] ] K = l[n] Solved using LMS data fitting for N samples (pseudo-inverse of the matrix). Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 11/34

Problems with Coefficient Tuning Practical integrators are implemented using opamps finite opamp gain (A OL ) and unity-gain bandwidth (f un), and with additional poles and zeros. 2.5 2 NTFs The ELD due to finite f un causes significant amount of gain peaking in the resulting NTF. Tuning is numerically unstable [5] Higher OBG leads to instability in the modulator dbfs 1.5 1 0.5 0 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ω / π Ideal Real Integrator N=5 N=20 N=50 Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 12/34

Problems with Coefficient Tuning Practical integrators are implemented using opamps finite opamp gain (A OL ) and unity-gain bandwidth (f un), and with additional poles and zeros. 2.5 2 NTFs The ELD due to finite f un causes significant amount of gain peaking in the resulting NTF. Tuning is numerically unstable [5] Higher OBG leads to instability in the modulator dbfs 1.5 1 0.5 0 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ω / π Ideal Real Integrator N=5 N=20 N=50 Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 12/34

Problems with Coefficient Tuning Practical integrators are implemented using opamps finite opamp gain (A OL ) and unity-gain bandwidth (f un), and with additional poles and zeros. 2.5 2 NTFs The ELD due to finite f un causes significant amount of gain peaking in the resulting NTF. Tuning is numerically unstable [5] Higher OBG leads to instability in the modulator dbfs 1.5 1 0.5 0 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ω / π Ideal Real Integrator N=5 N=20 N=50 Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 12/34

Problems with Coefficient Tuning Practical integrators are implemented using opamps finite opamp gain (A OL ) and unity-gain bandwidth (f un), and with additional poles and zeros. 2.5 2 NTFs The ELD due to finite f un causes significant amount of gain peaking in the resulting NTF. Tuning is numerically unstable [5] Higher OBG leads to instability in the modulator dbfs 1.5 1 0.5 0 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ω / π Ideal Real Integrator N=5 N=20 N=50 Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 12/34

Systematic Design Centering Method Instead of fitting the open-loop response, fit NTF (z)(1 + L(z)) to 1 [5] Algorithm h[n] + h[n] l[n] = δ[n], where h[n] = Z 1 (NTF (z)) is the impulse response corresponding to NTF (z) Let h i [n] = l i [n] h[n], for i = 0, 1,.., 3 The coefficients K = [ k 0 k 1 k 2 k 3 ] T are determined by solving [ h 0 h 1 h 2 h 3 ] K = δ[n] h[n] Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 13/34

Systematic Design Centering Method Instead of fitting the open-loop response, fit NTF (z)(1 + L(z)) to 1 [5] Algorithm h[n] + h[n] l[n] = δ[n], where h[n] = Z 1 (NTF (z)) is the impulse response corresponding to NTF (z) Let h i [n] = l i [n] h[n], for i = 0, 1,.., 3 The coefficients K = [ k 0 k 1 k 2 k 3 ] T are determined by solving [ h 0 h 1 h 2 h 3 ] K = δ[n] h[n] Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 13/34

Systematic Design Centering contd. The loop-filter coefficients are tuned to compensate for the excess loop delay due to the op-amps and the quantizer delay NTF response with non-ideal integrators is close to the ideal NTF 1.6 1.4 1.2 NTFs Coefficient tuning is numerically stable Custom toolbox for systematic design and rapid simulation of CT- Σ employs state-space representation and matrix integrals based solution dbfs 1 0.8 0.6 0.4 0.2 0 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ω / π Ideal N=5 N=20 N=50 Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 14/34

Systematic Design Centering contd. The loop-filter coefficients are tuned to compensate for the excess loop delay due to the op-amps and the quantizer delay NTF response with non-ideal integrators is close to the ideal NTF 1.6 1.4 1.2 NTFs Coefficient tuning is numerically stable Custom toolbox for systematic design and rapid simulation of CT- Σ employs state-space representation and matrix integrals based solution dbfs 1 0.8 0.6 0.4 0.2 0 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ω / π Ideal N=5 N=20 N=50 Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 14/34

Systematic Design Centering contd. The loop-filter coefficients are tuned to compensate for the excess loop delay due to the op-amps and the quantizer delay NTF response with non-ideal integrators is close to the ideal NTF 1.6 1.4 1.2 NTFs Coefficient tuning is numerically stable Custom toolbox for systematic design and rapid simulation of CT- Σ employs state-space representation and matrix integrals based solution dbfs 1 0.8 0.6 0.4 0.2 0 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ω / π Ideal N=5 N=20 N=50 Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 14/34

System Level Simulation Results CT DSM simulated using the custom tool SQNR = 149dB (sim time = 3 secs) non-linearities and thermal+flicker noise not included CT Modulator Output Spectrum 0-20 -40-60 -80 dbfs -100-120 -140-160 -180-200 SNDR = 148.9 db ENOB = 24.43 bits @OSR = 512 10-4 10-3 10-2 10-1 10 0 ω / π Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 15/34

Noise Budget Noise is dominated by the resistance thermal noise in the loop-filter modulator is dithered by the dominant thermal noise (less tones) Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 16/34

Power Optimization System level power reduction by employing systematic design centering lower-power opamps for the same ADC performance The design leverages the higher gm I D ratios for XLP FDSOI when compared to the bulk CMOS Opamps operate in weak inversion region Circuits were implemented in the process V DD = 1.5V Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 17/34

Power Optimization System level power reduction by employing systematic design centering lower-power opamps for the same ADC performance The design leverages the higher gm I D ratios for XLP FDSOI when compared to the bulk CMOS Opamps operate in weak inversion region Circuits were implemented in the process V DD = 1.5V Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 17/34

Power Optimization System level power reduction by employing systematic design centering lower-power opamps for the same ADC performance The design leverages the higher gm I D ratios for XLP FDSOI when compared to the bulk CMOS Opamps operate in weak inversion region Circuits were implemented in the process V DD = 1.5V Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 17/34

Power Optimization System level power reduction by employing systematic design centering lower-power opamps for the same ADC performance The design leverages the higher gm I D ratios for XLP FDSOI when compared to the bulk CMOS Opamps operate in weak inversion region Circuits were implemented in the process V DD = 1.5V Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 17/34

Power Optimization System level power reduction by employing systematic design centering lower-power opamps for the same ADC performance The design leverages the higher gm I D ratios for XLP FDSOI when compared to the bulk CMOS Opamps operate in weak inversion region Circuits were implemented in the process V DD = 1.5V Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 17/34

Loop Filter Design Rr C1 C2 C3 Vim R1 Vom1 R2 Vop2 R3 Vom3 Vip R1 Vop1 R2 Vom2 R3 Vop3 C3 C1 C2 Rr R00 Vip Vop3 R33 R22 Vop2 Vop1 R11 Vop Vom1 Vom2 R11 R22 Vom Vom3 Vim Rf R f k0 = R00 Rf k1 = R11 Rf k2 = R22 R33 R00 Rf Rf k3 = R33 Opamp power consumption: A 1 > A 2 > A 3 Summing opamp consumes power comparable to A 1 Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 18/34

Loop Filter Design Rr C1 C2 C3 Vim R1 Vom1 R2 Vop2 R3 Vom3 Vip R1 Vop1 R2 Vom2 R3 Vop3 C3 C1 C2 Rr R00 Vip Vop3 R33 R22 Vop2 Vop1 R11 Vop Vom1 Vom2 R11 R22 Vom Vom3 Vim Rf R f k0 = R00 Rf k1 = R11 Rf k2 = R22 R33 R00 Rf Rf k3 = R33 Opamp power consumption: A 1 > A 2 > A 3 Summing opamp consumes power comparable to A 1 Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 18/34

Operational Amplifier First stage opamp is biased to draw 20µA from the supply (including CMFB loop). VDDA Vtail 7 16 13 8 11 Vip 1 2 Vim Voutm 2 14 9 V1 Voutp IC V01p V01m CIC 15 10 3 4 17 V01m VBN1 V01p 12 V1 V2 VCMFB1 5 6 VGNDA Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 19/34

Comparator The comparator is biased with 1µA current. Dissipates 5µW at 6.144 MHz clock rate. Delay = 100ps, Resolution = 1µV Resistive DAC was employed in the design Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 20/34

Comparator The comparator is biased with 1µA current. Dissipates 5µW at 6.144 MHz clock rate. Delay = 100ps, Resolution = 1µV Resistive DAC was employed in the design Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 20/34

Chip Implementation On-chip capacitors n+ poly and n+ body plates C ox = 6 ff µm 2 On-chip resistors unsilicided nactive layer R = 3 kω 20% variation expected, but typical values are not controlled CT DSM can tolerate RC time-constant variation of 30%, but typical value needs to be fixed Linearity Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 21/34

Chip Implementation On-chip capacitors n+ poly and n+ body plates C ox = 6 ff µm 2 On-chip resistors unsilicided nactive layer R = 3 kω 20% variation expected, but typical values are not controlled CT DSM can tolerate RC time-constant variation of 30%, but typical value needs to be fixed Linearity Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 21/34

Chip Implementation On-chip capacitors n+ poly and n+ body plates C ox = 6 ff µm 2 On-chip resistors unsilicided nactive layer R = 3 kω 20% variation expected, but typical values are not controlled CT DSM can tolerate RC time-constant variation of 30%, but typical value needs to be fixed Linearity Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 21/34

Chip Implementation On-chip capacitors n+ poly and n+ body plates C ox = 6 ff µm 2 On-chip resistors unsilicided nactive layer R = 3 kω 20% variation expected, but typical values are not controlled CT DSM can tolerate RC time-constant variation of 30%, but typical value needs to be fixed Linearity Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 21/34

Chip Implementation On-chip capacitors n+ poly and n+ body plates C ox = 6 ff µm 2 On-chip resistors unsilicided nactive layer R = 3 kω 20% variation expected, but typical values are not controlled CT DSM can tolerate RC time-constant variation of 30%, but typical value needs to be fixed Linearity Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 21/34

Chip Micrograph Three CT- Σ modulators for wider RC spreads (2mm 1mm) Test structures for estimating R and C typical values Experimental results awaited Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 22/34

Chip Micrograph Three CT- Σ modulators for wider RC spreads (2mm 1mm) Test structures for estimating R and C typical values Experimental results awaited Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 22/34

Transistor-level Simulation Results 20 0-20 PSD (db) -40-60 -80-100 -120-140 10 3 10 4 10 5 10 6 Frequency (khz) Spectre simulated 16-bit resolution, 94.4 db dynamic range noise floor set by the transient simulation accuracy Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 23/34

Simulation Results Contd. 100 90 80 70 SNDR, db 60 50 40 30 20 10 0-10 -100-80 -60-40 -20 0 Amplitude, dbfs Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 24/34

Performance Summary Summary of simulated ADC performance. Signal Bandwidth/Clock Rate 6KHz/6.144MHz Quantizer Range 3V pp,diff Input Swing for peak SNR 1.92dBFS Dynamic Range/ SNDR 94.4dB/92.4dB Active Area 0.016mm 2 Process/Power Supply Voltage 0.15μmFD-SOI/1.5V Power Dissipation (Modulator) / +Ref 110μW /20μW Figure of Merit 0.271pJ/level Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 25/34

Low-Voltage CT- Σ Design A 0.5V CT- Σ ADC has been demonstrated in bulk CMOS[10] Employs low-voltage OTAs with body input and local CMFB[11] Return-to-open (RTO) DAC Multi-bit, 0.5V Σ ADC designs are difficult with traditional architectures insufficient headroom for quantizer (think LSB size) K.-P. Pun, S. Chatterjee, P. Kinget, "A 0.5-V 74-dB SNDR 25-kHz Continuous-Time Delta-Sigma Modulator With a Return-to-Open DAC." IEEE JSSC, vol. 42, no. 3, Mar 2007 Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 26/34

Low-Voltage CT- Σ Design A 0.5V CT- Σ ADC has been demonstrated in bulk CMOS[10] Employs low-voltage OTAs with body input and local CMFB[11] Return-to-open (RTO) DAC Multi-bit, 0.5V Σ ADC designs are difficult with traditional architectures insufficient headroom for quantizer (think LSB size) K.-P. Pun, S. Chatterjee, P. Kinget, "A 0.5-V 74-dB SNDR 25-kHz Continuous-Time Delta-Sigma Modulator With a Return-to-Open DAC." IEEE JSSC, vol. 42, no. 3, Mar 2007 Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 26/34

Multi-Step Quantizers Multi-Step quantizers can be leveraged to realize multi-bit CT- Σ Quantizer comprises of single-bit stages (Low-voltage) Need to compensate for the additional latency Low-voltage Subtractor/MDAC is required φ1 Vref1 b0 DAC Cdac Csub Vsub φ2_delayed Vref Vref Vin φ1 Csub Vin b1 φ1 Subtractor Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 27/34

Multi-Step Quantizers Multi-Step quantizers can be leveraged to realize multi-bit CT- Σ Quantizer comprises of single-bit stages (Low-voltage) Need to compensate for the additional latency Low-voltage Subtractor/MDAC is required φ1 Vref1 b0 DAC Cdac Csub Vsub φ2_delayed Vref Vref Vin φ1 Csub Vin b1 φ1 Subtractor Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 27/34

Multi-Step Quantizers Multi-Step quantizers can be leveraged to realize multi-bit CT- Σ Quantizer comprises of single-bit stages (Low-voltage) Need to compensate for the additional latency Low-voltage Subtractor/MDAC is required φ1 Vref1 b0 DAC Cdac Csub Vsub φ2_delayed Vref Vref Vin φ1 Csub Vin b1 φ1 Subtractor Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 27/34

CT- Σ ELD Compensation (1 < τ < 2) A S/H is used to compensate for the ELD by creating a fast loop NTF new (z)= (1 + az 1 )NTF original (z) Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 28/34

Comparison of NTF original (z) with NTF new (z) 20 10 0 Magnitude response (db) -10-20 -30 Order = 4 OSR = 10 OBG orig = 3 OBG new = 7-40 ELD < 1 ELD = 1.5-50 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ω / π NTF(e jω ) showing the effect of (1 + az 1 ) in the NTF new (e iω ) An additional zero in the NTF new (e iω ) reduces the in-band SQNR Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 29/34

Comparison of NTF original (z) with NTF new (z) 20 10 0 Magnitude response (db) -10-20 -30 Order = 4 OSR = 10 OBG orig = 3 OBG new = 7-40 ELD < 1 ELD = 1.5-50 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ω / π NTF(e jω ) showing the effect of (1 + az 1 ) in the NTF new (e iω ) An additional zero in the NTF new (e iω ) reduces the in-band SQNR Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 29/34

Comparison of NTF original (z) with NTF new (z) 20 10 0 Magnitude response (db) -10-20 -30 Order = 4 OSR = 10 OBG orig = 3 OBG new = 7-40 ELD < 1 ELD = 1.5-50 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ω / π NTF(e jω ) showing the effect of (1 + az 1 ) in the NTF new (e iω ) An additional zero in the NTF new (e iω ) reduces the in-band SQNR Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 29/34

Two-Step Quantizer Simulation Results System-level Simulink simulation results for a CT- Σ 2-bit, two-step quantizer Stable loop with ELD=1.5 Ideal SNDR = 157 db, MSA is reduced to 0.6 Can be extended to a pipelined Quantizer with ELD>2 compensation Modulator Output Spectrum Modulator Output Spectrum 0 0-20 -20-40 -40-60 -60-80 -80 dbfs -100 dbfs -100-120 -120-140 -160-180 SNDR = 157.6 db ENOB = 25.89 bits @OSR = 512-140 -160-180 SNDR = 157.6 db ENOB = 25.89 bits @OSR = 512-200 10-4 10-3 10-2 10-1 10 0 ω / π -200 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ω / π Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 30/34

Two-Step Quantizer Simulation Results System-level Simulink simulation results for a CT- Σ 2-bit, two-step quantizer Stable loop with ELD=1.5 Ideal SNDR = 157 db, MSA is reduced to 0.6 Can be extended to a pipelined Quantizer with ELD>2 compensation Modulator Output Spectrum Modulator Output Spectrum 0 0-20 -20-40 -40-60 -60-80 -80 dbfs -100 dbfs -100-120 -120-140 -160-180 SNDR = 157.6 db ENOB = 25.89 bits @OSR = 512-140 -160-180 SNDR = 157.6 db ENOB = 25.89 bits @OSR = 512-200 10-4 10-3 10-2 10-1 10 0 ω / π -200 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ω / π Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 30/34

Two-Step Quantizer Simulation Results System-level Simulink simulation results for a CT- Σ 2-bit, two-step quantizer Stable loop with ELD=1.5 Ideal SNDR = 157 db, MSA is reduced to 0.6 Can be extended to a pipelined Quantizer with ELD>2 compensation Modulator Output Spectrum Modulator Output Spectrum 0 0-20 -20-40 -40-60 -60-80 -80 dbfs -100 dbfs -100-120 -120-140 -160-180 SNDR = 157.6 db ENOB = 25.89 bits @OSR = 512-140 -160-180 SNDR = 157.6 db ENOB = 25.89 bits @OSR = 512-200 10-4 10-3 10-2 10-1 10 0 ω / π -200 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 ω / π Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 30/34

Conclusion A low-power Continuous-time Σ ADC has been designed in the XLP2 FDSOI process CT loop-filter coefficients were systematically obtained by incorporating the op-amp non-idealities The method, coupled with higher gm I D performance of XLP2 transistors, resulted in lower power consumption in the opamps System-level techniques were discussed to enable design for higher-performance multi-bit CT- Σ ADCs in <0.5V regime Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 31/34

Conclusion A low-power Continuous-time Σ ADC has been designed in the XLP2 FDSOI process CT loop-filter coefficients were systematically obtained by incorporating the op-amp non-idealities The method, coupled with higher gm I D performance of XLP2 transistors, resulted in lower power consumption in the opamps System-level techniques were discussed to enable design for higher-performance multi-bit CT- Σ ADCs in <0.5V regime Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 31/34

Conclusion A low-power Continuous-time Σ ADC has been designed in the XLP2 FDSOI process CT loop-filter coefficients were systematically obtained by incorporating the op-amp non-idealities The method, coupled with higher gm I D performance of XLP2 transistors, resulted in lower power consumption in the opamps System-level techniques were discussed to enable design for higher-performance multi-bit CT- Σ ADCs in <0.5V regime Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 31/34

Conclusion A low-power Continuous-time Σ ADC has been designed in the XLP2 FDSOI process CT loop-filter coefficients were systematically obtained by incorporating the op-amp non-idealities The method, coupled with higher gm I D performance of XLP2 transistors, resulted in lower power consumption in the opamps System-level techniques were discussed to enable design for higher-performance multi-bit CT- Σ ADCs in <0.5V regime Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 31/34

Questions? Questions? Vishal Saxena vishalsaxena@boisestate.edu http://coen.boisestate.edu/ams Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 32/34

References I N. Van Helleputte et al., "A flexible system-on-chip (SoC) for biomedical signal acquisition," Sensors and Actuators: A. Physical, vol. 142 no. 1, pp. 361-368, 2008. R. Schreier and G. Temes, Understanding Delta-Sigma Data Converters. Piscataway, NJ: IEEE Press, 2005. S. Pavan, N. Krishnapura, R. Pandarinathan, and P. Sankar, "A power optimized continuous-time Delta-Sigma ADC for audio applications," IEEE J. Solid-State Circuits, vol. 43, no. 2, pp. 351-360, Feb. 2008. P. Sankar and S. Pavan, "Analysis of integrator nonlinearity in a class of continuous-time delta-sigma modulators," IEEE Trans. Circuits Syst.II, Exp. Briefs, vol. 54, no. 12, pp. 1125-1129, Dec. 2007. S. Pavan, "Systematic Design Centering of Continuous Time Oversampling Converters," IEEE tran.on circuits and systems-ii, vol. 57, no. 3, pp. 158-162, March 2010. S. Pavan, and N. Krishnapura,"Automatic Tuning of Time Constants in Continuous-Time Delta-Sigma Modulators,"IEEE Trans. Circuits Syst.II, Exp. Briefs, vol. 54, no. 4, pp. 308-312, April 2007. J. Cherry and W. Snelgrove, "Excess loop delay in continuous-time delta-sigma modulators," IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process., vol. 46, no. 4, pp. 376-389, Apr. 1999. K. Reddy and S. Pavan, "Fundamental limitations of continuous-time delta-sigma modulators due to clock jitter," IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 54, no. 10, pp. 2184-2194, Oct. 2007. Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 33/34

References II Saxena, V., and Baker, R.J., "Compensation of CMOS Op-Amps using Split-Length Transistors,", proceedings of the 51st Midwest Symposium on Circuits and Systems, pp. 109-112, August 10-13, 2008. K.-P. Pun, S. Chatterjee, P. Kinget, "A 0.5-V 74-dB SNDR 25-kHz Continuous-Time Delta-Sigma Modulator With a Return-to-Open DAC." IEEE JSSC, vol. 42, no. 3, Mar 2007 S. Chatterjee, Y. Tsividis, and P. Kinget, "0.5-V analog circuit techniques and their application in OTA and filter design," IEEE J. Solid-State Circuits, vol. 40, no. 12, pp. 2373-2387, Dec. 2005. Sakkarapani Balagopal and Vishal Saxena* Continuous-time DS ADC 34/34