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EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 1 EE247 Lecture 25 • Administrative – EE247 Final exam: – Date: Tues. Dec. 13 th – Time: 12:30pm-3:30pm – Location: 285 Cory Hall Closed book/course notes No calculators/cell phones/PDAs/computers Bring one 8x11 paper with your own notes Final exam covers the entire course material unless specified EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 2 EE247 Lecture 25 Oversampled ADCs –2 nd order ΣΔ modulator Practical implementation – Effect of various nonidealities on the ΣΔ performance Higher order ΣΔ modulators – Cascaded modulators (multi-stage) – Single-loop single-quantizer modulators with multi-order filtering in the forward path

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EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 1

EE247Lecture 25

• Administrative– EE247 Final exam:

– Date: Tues. Dec. 13th

– Time: 12:30pm-3:30pm– Location: 285 Cory Hall

• Closed book/course notes• No calculators/cell phones/PDAs/computers• Bring one 8x11 paper with your own notes• Final exam covers the entire course material unless

specified

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 2

EE247Lecture 25

• Oversampled ADCs– 2nd order ΣΔ modulator

• Practical implementation– Effect of various nonidealities on the ΣΔ

performance

• Higher order ΣΔ modulators– Cascaded modulators (multi-stage)– Single-loop single-quantizer modulators

with multi-order filtering in the forward path

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 3

Oversampled ADCsLast Lecture

Oversampled ADCs:–Allows trading speed for resolution – No stringent requirements imposed on analog building blocks –Takes advantage of low cost, low power digital filtering–Relaxed transition band requirements for analog anti-aliasing

filters–Further reduction of baseband quantization noise power by

combining oversampling with clever use of feedback• By simply increasing oversampling ratio: 2X increase in sampling ratio

0.5-bit increase in resolution• Embedding the quantizer in a 1st order feedback loop 1.5-bit increase is resolution per 2x increase in sampling rate

• Adding a 2nd loop 2.5-bit increase per 2x increase in sampling rate

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 4

ΣΔ ImplementationPractical Design Considerations

• Internal nodes scaling & clipping

• Finite opamp gain & linearity

• Capacitor ratio errors

• KT/C noise

• Opamp noise

• Power dissipation considerations

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 5

Switched-Capacitor Implementation 2nd Order ΣΔNodes Scaled for Maximum Dynamic Range

• Modification (gain of ½ in front of integrators) reduce & optimize required signal range at the integrator outputs ~ 1.7x input full-scale (Δ)

Ref: B.E. Boser and B.A. Wooley, “The Design of Sigma-Delta Modulation A/D Converters,” IEEE J. Solid-State Circuits, vol. 23, no. 6, pp. 1298-1308, Dec. 1988.

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 6

2nd Order ΣΔ ModulatorSwitched-Capacitor Implementation

C2=2C1

• The ½ loss in front of each integrator implemented by choice of:

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 7

2nd Order ΣΔEffect of Integrator Maximum Signal Handling Capability on SNR

• Effect of 1st Integrator maximum signal handling capability on converter SNRRef: B.E. Boser and B.A. Wooley, “The Design of Sigma-Delta Modulation A/D Converters,”

IEEE J. Solid-State Circuits, vol. 23, no. 6, pp. 1298-1308, Dec. 1988.

1st integrator maximum signal handling:1.4, 1.5,1.6, and 1.7X Δ

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 8

2nd Order ΣΔEffect of Integrator Maximum Signal Handling Capability on SNR

• Effect of 2nd Integrator maximum signal handling capability on SNRRef: B.E. Boser and B.A. Wooley, “The Design of Sigma-Delta Modulation A/D Converters,”

IEEE J. Solid-State Circuits, vol. 23, no. 6, pp. 1298-1308, Dec. 1988.

2nd integrator maximum signal handling:0.75,1,1.25, 1.5, and 1.75X Δ

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 9

2nd Order ΣΔEffect of Integrator Finite DC Gain

Vi

-

+

φ1 φ2

aVo

Cs

CI( )

( )

1

1

1

1

1

1

111

ideal

Finit DC Gain

Cs zH zCI z

a zCsaCs CIH zCI

a zCsaCI

= ×−⎛ ⎞⎜ ⎟⎜ ⎟

+ +⎜ ⎟⎝ ⎠= ×⎛ ⎞⎜ ⎟+− ⎜ ⎟

+ +⎜ ⎟⎝ ⎠

a opamp gain at DC

Integrator

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 10

2nd Order ΣΔEffect of Integrator Finite DC Gain

• Low integrator DC gain Increase in total in-band noise • Can be shown: If a > M (oversampling ratio) Insignificant degradation in

SNR• Normally DC gain designed to be >> M in order to suppress nonlinearities

f0 /a

a

0P1 aω=

a

( )log H sIdeal Integ. (a=infinite)

Integrator magnitude response

Max signal level

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 11

2nd Order ΣΔEffect of Integrator Finite DC Gain

• Example: a =2M 0.4dB degradation in SNRRef: B.E. Boser and B.A. Wooley, “The Design of Sigma-Delta Modulation A/D Converters,”

IEEE J. Solid-State Circuits, vol. 23, no. 6, pp. 1298-1308, Dec. 1988.

M / a

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 12

2nd Order ΣΔEffect of Comparator Non-Idealities on SD Performance

1-bit A/D Single comparator• Speed must be adequate for the operating sampling rate• Input referred offset- feedback loop suppresses the effect

ΣΔ performance not sensitive to input referred offset• Input referred noise- same as offset• Hysteresis= Minimum overdrive required to change the output

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 13

2nd Order ΣΔComparator Hysteresis

Hysteresis= Minimum overdrive required to change the output

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 14

2nd Order ΣΔComparator Hysteresis

Comparator hysteresis < Δ/40 does not affect SNRE.g. Δ=1V, comparator offset/hysteresis up to 25mV tolerable

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 15

2nd Order ΣΔEffect Overall Integrator Gain Inaccuracy

• Gain of ½ in front of integrators determined by ratio of C1/C2

• Effect of inaccuracy in ratio of C1/C2 inspected by simulation

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 16

2nd Order ΣΔEffect of Integrator Overall Gain Inaccuracy

• Simulation show gain can vary by 20% w/o loss in performanceConfirms insensitivity of ΣΔ to component variations

• Note that for gain >0.65 system becomes unstable & SNR drops rapidly

Unstable

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 17

2nd Order ΣΔEffect of Integrator Nonlinearities

2 32 3

2 32 3

v( kT T ) u(kT ) v( kT )

With non-linearity added:

v( KT T ) u(kT ) .....u(kT ) u(kT )v( kT ) ....v( kT ) v( kT )

α αβ β

⎡ ⎤ ⎡ ⎤⎣ ⎦ ⎣ ⎦

⎡ ⎤ ⎡ ⎤⎣ ⎦ ⎣ ⎦

+ = +

+ = + +

+ + + +

Ref: B.E. Boser and B.A. Wooley, “The Design of Sigma-Delta Modulation A/D Converters,” IEEE J. Solid-State Circuits, vol. 23, no. 6, pp. 1298-1308, Dec. 1988

Delay

Ideal Integrator

u(kT) v(kT)

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 18

2nd Order ΣΔEffect of Integrator Nonlinearities

Ref: B.E. Boser and B.A. Wooley, “The Design of Sigma-Delta Modulation A/D Converters,” IEEE J. Solid-State Circuits, vol. 23, no. 6, pp. 1298-1308, Dec. 1988.

• Simulation for single-ended topology• Even order nonlinearities can be significantly attenuated by using

differential circuit topologies

2 20.01, 0 .02,0.05, 0.1%

α β= =

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 19

2nd Order ΣΔEffect of Integrator Nonlinearities

Ref: B.E. Boser and B.A. Wooley, “The Design of Sigma-Delta Modulation A/D Converters,” IEEE J. Solid-State Circuits, vol. 23, no. 6, pp. 1298-1308, Dec. 1988.

• Simulation for single-ended topology• Odd order nonlinearities (3rd in this case)

3 30.05, 0.2, 1%

α β= = 6dB =1-Bit

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 20

2nd Order ΣΔEffect of KT/C noise

• For the example of digital audio with 16-bit (100dB) & M=256Cs=1pF 6μVrms noiseIf FS=2Vp-p-d then thermal noise @ -101dB degrades overall SNR by < 3dBCs=1pF, CI=2pF small capacitor area compared to Nyquist ADCSince thermal noise provides some level of dithering better not choose much larger capacitors!

Vi

-

+

φ1 φ2

Vo

Cs

CI2

2

20

2

1/ 2 4/ 2

Total in-band noise:

4

2

n

n

n input referred

KTvCs

kT kTv fCs fs Cs fs

kTv fCs fs

kTCs M

=

= × =×

= ××

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 21

2nd Order ΣΔEffect of Finite Opamp Bandwidth

Input/Output z-transformVi+

Cs-

+ Vo

CIφ1 φ2

Vi-Unity-gain-freq.= fu =1/τ

Vo

φ2

T=1/fs

settlingerror

time

Assumptions: Opamp does not slewOpamp has only one pole exponential settling

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 22

2nd Order ΣΔEffect of Finite Opamp Bandwidth

ΣΔ does not require high opamp bandwidth fu > 2fs adequate

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 23

2nd Order ΣΔEffect of Slew Limited Settling

φ1

φ2

Vo-real

Vo-ideal

Clock

Slewing Slewing

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 24

2nd Order ΣΔEffect of Slew Limited Settling

Assumption: Opamp settling includes a single-pole setting of τ =1/2fs + slewing

Low slew rate degrades SNR rapidly- increases quantization noise and causes signal distortionMinimum slew rate of 1.2 (Δ x fs) required

Input Signal = -5dBT/τ =2

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 25

Design Phase Simulations• Design of oversampled ADCs requires simulation of extremely long data

traces

• SPICE type simulators:

–Normally used to test for gross circuit errors only

–Too slow and inaccurate for performance verification

• Typically, behavioral modeling is used in MATLAB-like environments

• Circuit non-idealities either computed or found by using SPICE at subcircuit level

• Non-idealities introduced in the behavioral model one-by-one first to fully understand the effect of each individually

• Next step is to add as many of the non-idealities simultaneously as possible to verify whether there are interaction among non-idealities

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 26

Modulator Testing• Should make provisions for testing the modulator (AFE) separate from the

decimator (digital back-end)

• Data acquisition board used to collect 1-bit digital output at fs rate

• Analyze data in a PC environment or dedicated test equipment in manufacturing environments can be used

• Need to run DFT on the collected data and also make provisions to perform the function of digital decimation filter in software

• Typically, at this stage, parts of the design phase behavioral modeling effort can be utilized

• Good testing strategy vital for debugging/improving challenging designs

AFE Data Acq.

PC Matlab

fs

FilteredSinwave

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 27

2nd Order ΣΔImplementation Example: Digital Audio Application

• 5V supply, Δ = 4Vp-p-d• Minimum capacitor values computed based on -107dB noise wrt

maximum signal Max. inband KT/C noise = 7μVrmsC1=(2kT)/(M vn

2 )=1pF C2=2C1Ref: B. P. Brandt, et. al, "Second-order sigma-delta modulation for digital-audio signal

acquisition," IEEE Journal of Solid-State Circuits, vol. 26, pp. 618 - 627, April 1991.

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 28

2nd Order ΣΔImplementation Example: Digital Audio Applications

Ref: B. P. Brandt, et. al, "Second-order sigma-delta modulation for digital-audio signal acquisition," IEEE Journal of Solid-State Circuits, vol. 26, pp. 618 - 627, April 1991.

Measured Performance Summary(Does Not Include Decimator)

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 29

2nd Order ΣΔImplementation Example: Digital Audio Applications

Ref: B. P. Brandt, et. al, "Second-order sigma-delta modulation for digital-audio signal acquisition," IEEE Journal of Solid-State Circuits, vol. 26, pp. 618 - 627, April 1991.

Measured SNDRM=256, 0dB=4Vp-p-dfsampling: 12.8MHzSignal Frequency: 2.8kHz

OptimumSNR @ -3dB

wrt to Δ

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 30

2nd Order ΣΔImplementation Example: Digital Audio Applications

Ref: B. P. Brandt, et. al, "Second-order sigma-delta modulation for digital-audio signal acquisition," IEEE Journal of Solid-State Circuits, vol. 26, pp. 618 - 627, April 1991.

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 31

2nd Order ΣΔImplementation Example: Digital Audio Applications

Measured & simulated spurious tones performance as a function of DC input signal Sampling rate=12.8MHz, M=256

Ref: B. P. Brandt, et. al, "Second-order sigma-delta modulation for digital-audio signal acquisition," IEEE Journal of Solid-State Circuits, vol. 26, pp. 618 - 627, April 1991.

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 32

2nd Order ΣΔImplementation Example: Digital Audio Applications

Measured & simulated noise tone performance for near zero DC input of0.00088Δ

Sampling rate=12.8MHz, M=256Ref: B. P. Brandt, et. al, "Second-order sigma-delta modulation for digital-audio signal acquisition," IEEE Journal of Solid-State Circuits, vol. 26, pp. 618 - 627, April 1991.

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 33

2nd Order ΣΔImplementation Example: Digital Audio Applications

Measured & simulated worst-case noise tone @ DC input of 0.00088ΔBoth indicate maximum tone @ 22.5kHz around -100dB level

Ref: B. P. Brandt, et. al, "Second-order sigma-delta modulation for digital-audio signal acquisition," IEEE Journal of Solid-State Circuits, vol. 26, pp. 618 - 627, April 1991.

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 34

2nd Order ΣΔImplementation Example: Integrator Opamp

Class A/B opamp High slew-rate S.C. common-mode feedback

Input referred noise (both thermal and 1/f) important for high resolution performance

Minimum required DC gain> M=256 , usually DC gain designed to be much higher to suppress nonlinearities (particularly, for class A/B amps

Minimum required slew rate of 1.2(Δfs) 65V/usec

Minimum opamp settling time constant 1/2fs~30nsec

Ref: B. P. Brandt, et. al, "Second-order sigma-delta modulation for digital-audio signal acquisition," IEEE Journal of Solid-State Circuits, vol. 26, pp. 618 - 627, April 1991.

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 35

2nd Order ΣΔImplementation Example: Comparator

Comparator simple design

Minimum acceptable hysteresis or offset (based on analysis) Δ/40 ∼ 100mV

Ref: B. P. Brandt, et. al, "Second-order sigma-delta modulation for digital-audio signal acquisition," IEEE Journal of Solid-State Circuits, vol. 26, pp. 618 - 627, April 1991.

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 36

2nd Order ΣΔImplementation Example: Subcircuit Performance

Our computed Over-Design Factorminimum requiredDC Gain 48dB x8Unity-gain freq =2fs=25MHz x2Slew rate = 65V/usec x5

Output range 1.7Δ=6.8V! X0.9

Settling time constant= 30nsec x4

Comparator offset 100mV x7

Ref: B. P. Brandt, et. al, "Second-order sigma-delta modulation for digital-audio signal acquisition," IEEE Journal of Solid-State Circuits, vol. 26, pp. 618 - 627, April 1991.

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 37

Higher Order ΣΔ Modulators

• Extending ΣΔ Modulators to higher orders by adding integrators in the forward path (similar to 2nd order)

Issues with stability• Two different architectural approaches used

to implement ΣΔ modulators of order >2– Single-loop single-quantizer modulators with multi-

order filtering in the forward path

– Cascade of lower order modulators (multi-stage)

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 38

Higher Order ΣΔ ModulatorsMult-Order Filter

• Zeros of NTF (poles of H(z)) can be positioned to suppress baseband noise spectrum

• Main issue Loop stability for 3rd and higher orders

( ) 1( ) ( ) ( )1 ( ) 1 ( )

H zY z X z E zH z H z

= ++ +

Σ

E(z)

X(z) Y(z)( )H z Σ

Y( z ) 1NTF

E( z ) 1 H( z )= =

+

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 39

Higher Order ΣΔ ModulatorsCascaded Modulators

• Cascade two or more stable ΣΔ stages• Quantization error of each stage is quantized by the

succeeding stage and subtracted digitally • Order of noise shaping equals sum of the orders of

the stages• Quantization noise cancellation depends on the

precision of analog signal paths• Quantization noise further randomized less limit

cycle oscillation problems• Typically, no potential instability

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 40

2-Stage Cascaded ΣΔ Modulators

• Main ΣΔ quantizes the signal • The quantization error is then quantized by the 2nd quantizer • The quantized error is then subtracted from the results in the digital

domain

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 41

2nd Order (1-1) Cascaded ΣΔ Modulators

2nd order noise shaping

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 42

3rd Order Cascaded ΣΔ Modulators

• Can implement 3rd

order noise shaping with 1-1-1

• This is also called MASH (multi-stage noise shaping)

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 43

3rd Order (2-1) Cascaded ΣΔ Modulators

3rd order noise shaping

Advantages of 2-1 cascade:• Low sensitivity to

precision of analog paths• Low spurious noise

tones• No potential instability

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 44

Sensitivity of (1-1-1) Cascaded ΣΔ Modulatorsto Matching of Analog & Digital Gains

Accuracy of < 0.1%2dB loss in DR

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 45

Sensitivity of (2-1) Cascaded ΣΔ Modulatorsto Matching Error

Accuracy of < +−3%2dB loss in DR

Main advantage of 2-1 cascade compared to 1-1-1 topology:• Low sensitivity to precision of analog paths (over one order of

magnitude!)

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 46

2-1 Cascaded ΣΔ Modulators

Accuracy of < +−3%2dB loss in DR

Ref: L. A. Williams III and B. A. Wooley, "A third-order sigma-delta modulator with extended dynamic range," IEEE Journal of Solid-State Circuits, vol. 29, pp. 193 - 202, March 1994.

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 47

2-1 Cascaded ΣΔ Modulators

Effect of gain parameters on signal-to-noise ratio

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 48

Comparison of 2nd order & Cascaded (2-1) ΣΔ Modulator

5.2mm20.39mm2Active Area47.2mW13.8mWPower Dissipation

8Vppd5V supply

4Vppd5V supply

Differential input range

128 (theoretical SNR=128dB)

256 (theoretical SNR=109dB)

Oversampling rate98dB94dBPeak SNDR104dB (17-bits)98dB (16-bits)Dynamic Range(2+1) Order2nd orderArchitectureWilliams, JSSC 3/94Brandt ,JSSC 4/91Reference

Digital Audio Application, fN=50kHz

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 49

2-1 Cascaded ΣΔ ModulatorsMeasured Dynamic Range Versus Oversampling Ratio

Ref: L. A. Williams III and B. A. Wooley, "A third-order sigma-delta modulator with extended dynamic range," IEEE Journal of Solid-State Circuits, vol. 29, pp. 193 - 202, March 1994.

3dB/Octave

21dB/Octave

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 50

Summary•Oversampled ADCs decouple SQNR from circuit complexity and accuracy

•If a 1-Bit DAC is used, the converter is inherently linear—independent of component matching

•Typically, used for high resolution & low frequency applications – e.g. digital audio

•2nd order ΣΔ used extensively due to lower levels of limit cycle related spurious tones

• ΣΔ modulators of order greater than 2:– Single-loop, single-quantizer modulators with multi-order filtering in the

forward path– Cascaded (multi-stage) modulators

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 51

Bandpass ΔΣ Modulator

+

_vIN

dOUT

DAC

• Replace the integrator in 1st order lowpass ΣΔ with a resonator

1st order bandpass ΣΔ

Resonator

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 52

Bandpass ΔΣ ModulatorMeasured output for a bandpass ΣΔ

Key Point:

NTF notch type shape

STF bandpass shape

Ref: Paolo Cusinato, et. al, “A 3.3-V CMOS 10.7-MHz Sixth-Order Bandpass Modulator with 74-dB Dynamic Range “, ΙΕΕΕ JSSCC, VOL. 36, NO. 4, APRIL 2001

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 53

Bandpass ΣΔ Modulator Dynamic RangeAs a Function of Modulator Order (K)

• Bandpass ΣΔ resolution for order K is the same as lowpass ΣΔ resolution with order L= K/2

K=415dB/Octave

K=621dB/Octave

K=29dB/Octave

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 54

Example: Sixth-Order Bandpass ΣΔ Modulator

Ref: Paolo Cusinato, et. al, “A 3.3-V CMOS 10.7-MHz Sixth-Order Bandpass Modulator with 74-dB Dynamic Range “, ΙΕΕΕ JSSCC, VOL. 36, NO. 4, APRIL 2001

Simulated noise transfer function Simulated signal transfer function

EECS 247 Lecture 25: Oversampling Data Converters © 2005 H. K. Page 55

Bandpass ΣΔ Characteristics• Oversampling ratio defined as fs/2B

where B = bandpass filter bandwidth• Typically, sampling frequency is chosen

to be 4xfcenter where fcenter=bandpass filter center frequency

• STF has a bandpass shape while NTF has a notch shape

• To achieve same resolution as lowpass, needs twice as many integrators