Fundamentals of Sigma-Delta ADCs Jinseok Koh, Ph.D. Texas - - PowerPoint PPT Presentation

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Fundamentals of Sigma-Delta ADCs Jinseok Koh, Ph.D. Texas - - PowerPoint PPT Presentation

Fundamentals of Sigma-Delta ADCs Jinseok Koh, Ph.D. Texas Instruments Inc. Dallas, TX IEEE SSCS Dallas Chapter, June 2007 Jinseok Koh (jinseok@ti.com) Why Analog to Digital Conversion? Naturally occurring signals are analog signal


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Jinseok Koh (jinseok@ti.com)

Fundamentals of Sigma-Delta ADCs

Jinseok Koh, Ph.D. Texas Instruments Inc. Dallas, TX IEEE SSCS Dallas Chapter, June 2007

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Jinseok Koh (jinseok@ti.com)

Why Analog to Digital Conversion?

Naturally occurring signals are analog signal Human beings perceive and retain information in analog form BUT, Analog signal is more sensitive to noise than digital signal

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Jinseok Koh (jinseok@ti.com)

How Analog to Digital Conversion?

  • 1. Sample analog signal
  • 2. Quantize sampled analog signal Quantization noise
  • 3. Faster sampling time, better accuracy
  • 4. Higher quantization levels, better accuracy

t1 t2 t3 t4 t5 t6 t7 t8 t9

000 001 010 011 100 101 110

101 100 101 101 101 100 010 010 010

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Jinseok Koh (jinseok@ti.com)

Continuous Time Signal

Time Amplitude fB Frequency Power

fB, band of interest

Signal frequency, fC = band of interest, fB (Maximum frequency of the signal)

fC Signal

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Jinseok Koh (jinseok@ti.com)

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Jinseok Koh (jinseok@ti.com)

Anti Aliasing Filter S/H Quantization DSP

Analog Signal Sampled Analog Signal Continuous Time Signal

Typical Architecture for Analog to Digital Conversion

ADC

Digital Signal

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Jinseok Koh (jinseok@ti.com)

Nyquist Rate vs. Oversampled

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Jinseok Koh (jinseok@ti.com)

Modeling of Quantizer

  • Quantizer is non-linear building block

– Need modeling for simplifying the analysis

  • White additive noise assumptions

– It is not fulfilled in many applications, However – It makes analysis easy and makes possible the use of z-tansformation

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Jinseok Koh (jinseok@ti.com)

Quantization Noise

  • Quantity of in-band noise depends on the over-sampling ratio

– SNR = 10log(sx

2) -10log(sn 2) +3.01r(dB), where

– s x

2 and sn 2 are input signal power and in-band noise power respectively, and

– r is defined by over-sampling ratio, fs/2fb=2r

Pervez M. Aziz, “An overview of sigma-delta converters,” IEEE Signal processing Magazine, pp 61-84, Jan. 1996

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Jinseok Koh (jinseok@ti.com)

Over-sampling and Noise Shaping

IV IV IV % D Q G

  • RI,Q

W H U H V W 1RL V H

Every doubling of sampling frequency leads approximately 3 dB enhancement in SNR Noise shaping pushes quantization noise to higher frequency resulting in suppressing

  • Q. noise in the band of interest
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Jinseok Koh (jinseok@ti.com)

How to Shape the noise?

E(z) H(z)G(z) 1 1 X(z) H(z)G(z) 1 H(z) Y(z) ⋅ + + ⋅ + =

If H(z) = z-1/1-z-1 and G(z)=1, NTF and STF will be:

STF NTF

1

Z X(z) Y(z) STF

= =

1

Z 1 E(z) Y(z) NTF

− = =

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Jinseok Koh (jinseok@ti.com)

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Jinseok Koh (jinseok@ti.com)

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Jinseok Koh (jinseok@ti.com)

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Jinseok Koh (jinseok@ti.com)

Example, 2nd order Sigma-Delta ADC

Output of the 1st integrator Output of the 2nd integrator The dynamic range at the output of the two integrators is limited Input signal attenuation by 6 dB

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Jinseok Koh (jinseok@ti.com)

Noise Shaping

2nd order 1st order

Band of interest

In-band quantization noise is suppressed more with 2nd order

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Jinseok Koh (jinseok@ti.com)

Single-bit or Multi-bit ?S

Single Bit

  • Feedback DAC inherently linear. So no HD distortion.
  • Need a faster Amplifier
  • Lower SQNR for a given modulator order

Multi Bit

  • Gives higher SQNR
  • Relaxed opamp specs due to smaller step size
  • DAC non-linearity is a performance limit
  • Require dynamic element matching
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Jinseok Koh (jinseok@ti.com)

Summary

  • Sigma-delta ADC provide trade-offs between:

– Power consumption, – Over-sampling ratio (OSR) – System performance (SNR)

  • High OSR implies:

– Lower number of quantization levels – Lower modulator order, but – More demanding settling requirements for the analog building blocks

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Jinseok Koh (jinseok@ti.com)

A Sigma-Delta ADC with a built-in Anti-aliasing filter for Bluetooth receiver in 130 nm digital process

Jinseok Koh Wireless Analog Technology Center Texas Instruments Inc. Dallas, TX

Published in CICC2004

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Jinseok Koh (jinseok@ti.com)

Introduction

  • RF input signal is amplified by two stage Amplifier, LNA and TA.
  • TA output is down converted and filtered by Direct-Sampling Mixer

(DSM).

  • IFA amplifies mixer output signal operating at 75 Mhz.
  • Sigma-Delta ADC converts 75 MHz IFA output to 37.5 MHz digital

words.

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Jinseok Koh (jinseok@ti.com)

ADC Requirements

  • 60 dB Dynamic range at 1 Mhz signal bandwidth

– 2nd order sigma-delta ADC – 5 level quantizer – 37.5 MHz sampling frequency.

  • Gain Control

– O dB and 14 dB gain option is required for system AGC function.

  • Low Power consumption
  • Low cost
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Jinseok Koh (jinseok@ti.com)

Noise budget

  • Quantization noise is a dominant noise source.

– Unit capacitance element is selected based on considering mismatch effect. – Noises from amplifier and reference buffer are not critical. – Power consumption of amplifier is minimized since noise from it is negligible compared to the high in-band quantization noise.

(unit = µV)

Noise Budget

100 200 300 400 500 600

Noise Quant. Amp. kT/C Ref

Noise Sources Noise [uVrms]

Noise_tot Quant. Amp. kT/C Ref 564 561 75 18.8 18

Conditions: 1. Fs=37.5 MHz 2. BW=1 MHz 3. 5 level Flash

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Jinseok Koh (jinseok@ti.com)

Required building blocks

  • Based on power consumption and noise analysis, following

functions are required. – Decimation by Two: sampling frequency 37.5 MHz can provides enough Dynamic Range utilizing 5 level flash ADC. – Anti-alias filtering: Decimation by two function causes folding noise. – Buffering: buffer amplifier is required to avoid charge sharing between Switched capacitor FIR filter and sampling circuits in Sigma-Delta ADC.

Sigma-Delta ADC FIR Filter

2

x1 Decimation by 2 Buffer 3bit

  • ut

Input

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Jinseok Koh (jinseok@ti.com)

Proposed Architecture

  • Decimation, anti-aliasing filtering is merged with sampling

circuits. – Saved power consumption and silicon area since it avoids the buffer.

  • Second order Sigma-Delta ADC with 5 level flash.
  • ILA DEM is used to suppress mismatch energy from DAC in

feedback loop.

2

Vin

Z-1 1 - Z-1 Z-1 1 - Z-1

a2 b2 b1

3 Bit OUT

Decoder ILA

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Jinseok Koh (jinseok@ti.com)

FIR Anti-aliasing Filter

  • 60dB attenuation is required to suppress folding noise by

system simulations.

  • Third order FIR filter is chosen and provides 80 dB attenuation

at folding frequency band edge.

) 3 ( ) 2 ( 3 ) 1 ( 3 ) ( ) ( − + − + − + = n x n x n x n x n y

  • 80 dB at 36.5 MHz
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Jinseok Koh (jinseok@ti.com)

FIR Anti-aliasing Filter and Decimation

  • 6 phase clock signals are utilized to implement FIR filter.
  • On Pi phase, input is sampled at Cpi and 3Cpi capacitors,
  • On I3 phase, Cp3, 3Cp2, 3Cp1 and Cp6 is dumped into

integrating capacitor.

P1 P2 P3 P4 P5 P6 I1 I2 I3

5 level DAC

Vrefp Vrefm Input CM

P1 P1 P1 P1 P2 P2 P2 P2 P3 P3 P4 P4 P4 P4 P5 P5 P5 P5 P6 P6 P6 P6 I2 I3 I1 I3 I3 I3 I1 I1 P3 P3 I3 I3 I2 I2 I2 I1 I1 I2 I2 I1 I1 I2 I2 I1 I3 I3 Cp1 3Cp1 Cp2 3Cp2 Cp3 3Cp3 Cp5 3Cp5 Cp6 3Cp6 Cp4 3Cp4

P1 P2 P3 P4 P5 P6 I1 I1 I1 I1 I3 I3 I3 I3

Cp1, 3Cp1 Cp2, 3Cp2 Cp4, 3Cp4 Cp3, 3Cp3 Cp5, 3Cp5 Cp6, 3Cp6

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Jinseok Koh (jinseok@ti.com)

Gain control

  • Gain control function is implemented in FIR sampling block by

adding the high gain mode switched capacitor circuits in parallel with each capacitor in SC FIR filter.

  • Gain is defined by the ratio between sampling capacitors and

integrating capacitor (CM).

CM HG High Gain mode N1 N1 LG N2 N2 Cs Csh Input

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Jinseok Koh (jinseok@ti.com)

Comparator

  • Switched capacitor comparator is used to build 5 level

quantizer.

  • Capacitor ratio between Ci and Cr is chosen to have threshold

voltage for each comparator.

  • Capacitor size is optimized to be minimum considering

decision speed, resolution (mismatch) and offset.

VINP VINM REFP REFM COMP Cr Cr Ci Ci N1 N2 N2 N2 OUTP OUTM LATCH

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Jinseok Koh (jinseok@ti.com)

Two Tone Measurements

  • 8 dBFS sine signals at 1 MHz (f1) and 2.2 MHz (f2) are applied.
  • 80 dBc IM3 shows at 200 kHz.

Number of FFT : 65536

f1 = 1 MHz f2 = 2.2 MHz IM3

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Jinseok Koh (jinseok@ti.com)

SNDR vs. Input

10 20 30 40 50 60 70

  • 70
  • 60
  • 50
  • 40
  • 30
  • 20
  • 10

Input Amplitude [dBFS] SNDR [dB]

High Gain Low Gain

Measured SNDR

  • Peak SNDR for high gain mode is smaller since harmonics

come earlier than low gain mode due to amplifier speed.

60 dB SNDR at –4 dBFS input

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Jinseok Koh (jinseok@ti.com)

Performance summary

  • Sinusoidal signal at 360 kHz is used for performance measurements.
  • Peak SNDR1 : when 0 dB gain option is selected.
  • Peak SNDR2 : when 14 dB gain option is selected.

Technology 130nm Digital CMOS Process Sampling Frequency 37.5 MHz Signal Bandwidth 1 MHz Peak SNDR1 60 dB Peak SNDR2 57 dB Dynamic Range 67 dB Overall Dynamic Range 77 dB Input Range 1.4 Vpp (differential) Power Consumption 1.6 mW Voltage Supply 1.58 V Core Area 0.2 mm2

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Jinseok Koh (jinseok@ti.com)

Conclusion

  • Second order 5 level Sigma-Delta ADC with built-in anti-

aliasing filter is realized.

  • Decimation by two function relaxed settling and slew rate

requirement.

  • SC FIR filter for anti-aliasing is merged with sampling circuit.

– Achieved power saving and cost reduction

  • Two step gain control increases overall Dynamic Range.

– Relax the automatic gain control burden in bluetooth system.

  • Building block parameters are optimized based on noise

analysis and realized low power consuming ADC.

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Jinseok Koh (jinseok@ti.com)

66dB DR 1.2V 1.2mW Single-Amplifier Double-Sampling 2nd-order ?S ADC for WCDMA in 90nm CMOS

Jinseok Koh Wireless Analog Technology Center Texas Instruments Inc. Dallas, TX

Published in ISSCC2005

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Jinseok Koh (jinseok@ti.com)

Objectives

  • For a given performance requirement, power consumption and

area are optimized by:

– Increasing sampling frequency Double sampling technique – Increasing modulator order Single Amplifier topology – Higher number of levels in Quantizer 5-level quantizer with ILA

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Jinseok Koh (jinseok@ti.com)

Double sampling

  • Advantages:

– Efficient technique to double the OSR

  • Doesn’t need faster op-amp settling
  • Provides improvement of SQNR by 6n+3 dB (n=order)
  • Disadvantage:

– Mismatch between capacitors creates noise folding

9L

Q

3 3 3 3 3 3 3 3

&' &' &X

Inherent Capacitor Mismatch Alternating Gain Effect Noise Folding

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Jinseok Koh (jinseok@ti.com)

Noise Folding In Double Sampling

  • Alternating gain effect

Noise at Fs/2 is folded into Signal bandwidth

D2 C ?C : gain

1 : gain

Noise folding (Input sampling circuit) Noise folding (DAC in feedback path)

D2

C ?C : gain

1 : gain

  • Noise at Fs/2 is suppressed by
  • Anti-aliasing filter
  • Pre-filtering
  • No filtering on quantization noise
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Jinseok Koh (jinseok@ti.com)

Conventional Double Sampling DAC

  • Requires two sets of

switched capacitor DACs

  • Mismatch on stored

charge causes alternating gain effect

  • On P1 phase,

Stored charge in CD1 :

CD1(Vrefp-Vrefm)

  • On P2 phase,

Stored charge in CD2 :

CD2(Vrefp-Vrefm)

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Jinseok Koh (jinseok@ti.com)

  • Advantages of this approach vs. conventional approach:

– Only one pair of capacitors needed – No “alternating-gain” effect – No additional circuitry needed for matching purposes

Proposed SC DAC element for double sampling

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Jinseok Koh (jinseok@ti.com)

  • On phase P1 the charge transferred to Integrating Capacitor is:

Qu = Cd(Vrefp-Vrefm) – Qu is equal to the charge stored into Cd

This charge will be used during next integration phase

Operation of Proposed SC DAC element

On P1 Phase: On P2 Phase:

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Jinseok Koh (jinseok@ti.com)

  • Conventional Sigma-delta ADC:

– Needs an amplifier per summing node – Poles and zeros are chosen by ai and bi ,where i=1,2

Conventional 2nd Order Sigma-Delta ADC

Each Summing Node requires an Amplifier

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Jinseok Koh (jinseok@ti.com)

G(z) 1 z 2 z q 1 z p 1 2 z q 1 z p 1 NTF − + − ⋅ − − ⋅ − − ⋅ − − ⋅ − = G(z) z z q z p 1 z STF

1 2 1 1 − − − −

+ ⋅ − ⋅ − =

Summing node

Single Amplifier 2nd Order Sigma-Delta ADC

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Jinseok Koh (jinseok@ti.com)

SNDR vs. Input

10 20 30 40 50 60 70

  • 70
  • 60
  • 50
  • 40
  • 30
  • 20
  • 10

Input Amplitude [dBFS] SNDR [dB]

SNDR vs. Input power

  • 63dB peak SNDR happens at -3dBFS input sinusoidal
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Jinseok Koh (jinseok@ti.com)

I-channel Q-channel

Die Photography for dual channel ADCs

  • Implemented in 90nm 5 metal digital CMOS process
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Jinseok Koh (jinseok@ti.com)

Technology 90 nm Digital CMOS Signal Bandwidth 1.94 MHz Clock Frequency 38.4 MHz Sampling Frequency 76.8 MHz Peak SNDR 63 dB Dynamic Range 66 dB Input Range 1.5 Vpp (differential) Voltage Supply 1.2 V Power Consumption 1.2 mW per ADC Core Area 0.2 mm2 per ADC

Performance Summary

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Jinseok Koh (jinseok@ti.com)

Conclusions

  • Second order 5 level Single Amplifier Sigma-Delta ADC with double

sampling technique was realized in 90 nm CMOS.

  • By using double sampling technique, OSR is doubled with no

increase of power consumption and silicon area.

  • Single-capacitor double-sampling DAC solved “alternating-gain”

error effect.

  • 2nd order modulator is implemented using a Single-amplifier
  • architecture. Higher order modulator is feasible.
  • Low power consumption: 1.2mW for WCDMA, measured with a 1.2V

power supply.

  • 66dB dynamic range was achieved in 1.94MHz bandwidth.