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University of Pavia University of Pavia Department of Electronics Department of Electronics © F. Maloberti © F. Maloberti University of Pavia University of Pavia Department of Electronics Department of Electronics © F. Maloberti © F. Maloberti 0 Architectures and Design Methodologies for Very Low Power and Power Effective A/D Sigma-Delta Converters F. Maloberti Department of Electronics University of Pavia - Italy [email protected]

Transcript of RI3DYLD 'HSDUWPHQWRI(OHFWURQLFV ) 0DOREHUWL …ljilja/cas/files/franco_maloberti.pdfArchitectures...

Page 1: RI3DYLD 'HSDUWPHQWRI(OHFWURQLFV ) 0DOREHUWL …ljilja/cas/files/franco_maloberti.pdfArchitectures and Design Methodologies for Very Low Power and Power Effective A/D Sigma-Delta Converters

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0

Architectures and Design Methodologies

for Very Low Power and

Power Effective A/D Sigma-Delta Converters

F. MalobertiDepartment of ElectronicsUniversity of Pavia - [email protected]

University of PaviaUniversity of PaviaDepartment of ElectronicsDepartment of Electronics © F. Maloberti© F. Maloberti

University of PaviaUniversity of PaviaDepartment of ElectronicsDepartment of Electronics © F. Maloberti© F. Maloberti

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1

Summary• Introduction

• Sigma-Delta Architectures

• DAC Resolution Reduction

• Time Interleaved Technique

• OTA Swing Reduction

• Syntesis of the Noise Transfer Function

• Conclusions

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2

Introduction

Technology advancements and the electronics market evolution more andmore favor applications with nomadic features:? Limited power refueling;? Autonomous operation (no power specifically provided with capability to acquire the

power that needs and modulate its activity depending on the available power budget).

Nomadic electronics impose an optimum trade-off between power and per-formance⇒ Minimum power and its aware use.

Hot Topics? Ultra-low power analog conditioning;? Ultra-low power data conversion;? Power aware digital design;? Re-design of basic digital cells and power optimization of algorithms.

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3

Introduction (ii)

For the design of data converter an effective use of power is measured bythe figure of merit (FoM)

FoM =P

2ENOB · 2 · fB

ENOB = equivalent number of bits; fB input bandwidth.

The FoM is not a solid way to asses the power effectiveness as it dependson technology and the frequency range of operation.

Nevertheless, obtaining a FoM in the range of 1 pJ-conv or less is a goodsign of an effective use of power.

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4

Sigma-Delta Architectures

Σ∆ was for high-resolution, low-bandwidth analog-to-digital converters.Now, Σ∆ is also used for low-power high-bandwidth medium-resolutionwith small OSR.

The low power goal can be obtained by a proper choice of three designparameters: the oversampling ratio, the order of the modulator and thenumber of bits of the quantization.

? High sampling frequency augments the need of high bandwidth and slew-rate in theused OTAs.

? High-order requires a large number of OTAs.? Multi-bit quantizers increases the resolution but multi-bit DACs can cause harmonic

distortion.

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5

Design Strategies

Use DEM and multi-bit architectures with a maximum number of bits in theADC.

Minimize the number of OTA: share functions or use a single op-amp toobtain high order transfer functions.

Reduce the clock frequency by using time interleaving and N-path archi-tectures (+ syntesis of the NTF).

Limit the OTA voltage swings for benefiting the slew-rate and using archi-tectures with reduced complexity.

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6

Reduction of the DAC Resolution

A 22.5 ' 6 increases of the number of quantization levels is equivalent toa sampling frequency doubling in a second-order modulator.

More comparators but lower speed in the op-amps.

Use of Dynamic element matching (DEM) of the DAC elements.

Solution: use many levels in the ADC but reduces the number of levels ofthe DAC.

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Reduction of the DAC Resolution (ii)

Leslie Sing method is an option ...

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8

Truncation, Shaping and Error Cancellation

Reduces the DAC resolution by truncation and shaping of the truncationerror (Maloberti Yu - JSSC Dec.05).

N-levDAC

S+

-

11-z-1

XS

+

-z-1

1-z-1 M-lev ADC

Digital SD

YDA

C

S

Y+eT(1-z-1)keT(1-z-1)k-1

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Truncation, Shaping and Error Cancellation (ii)

A=2

B=1

4-bit

3-lev. 5-lev.NO DEMSNEGLIGIBLEDIGITAL SECTION

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Truncation, Shaping and Error Cancellation (iii)

OSR=10

Input: -6dB, 533.3 kHzSNDR: 51.2dB

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11

Truncation, Shaping and Error Cancellation (iv)CMOS 90nmdigital process

Area: 0.4mm2

Digital Part <5% Layout Area

Digital Logic

4-bitFlashADC

Int2 Int1

Supply 1.2V 2.2 mW Signal Band 1 MHz OSR=20 SNDR =64dB

FoM =0.92 pJ/conv

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12

Time Interleaved Technique

S&H

1

fs/N

fs/N

fs/N

fs/N

fs

ANALOGDE-MUX

DIGITALMUX

VIN OUT

fs

ADCK-bit

ADCK-bit

ADCK-bit

ADCK-bit

2

3

N

Time-interleaved (TI) technique (z → zM ) is attractive for Σ∆ as the OSRincreases without speeding-up analog blocks.

Reducing by two the clock diminishes power by 3-4 (MOS in saturation)!

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13

Time Interleaved: Key issueThe recursive operation of Σ∆ modulators makes it difficult the transfor-mation of a Σ∆ into its equivalent TI structures.

Limitations:

• Quantizer domino (occurs when a certain quantizer output is con-nected to another quantizer input via an analog block without a delay).

Solution:

4 Convert to digital incomplete analog inputs.4 Correct the incomplete result in the digital domain.

4-paths

Kye-Shin Lee; F. Maloberti, F. TCAS II 04

Kye-Shin Lee; Sunwoo Kwon, F. Maloberti, F. ISCAS 04

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14

Time Interleaved: Incomplete Conversion

Q2

Q1

2nd IntegratorChannel

1st IntegratorChannel

DAC2

DAC1

x2

x1

y2

y1

yx

Mux

Q2

Q1

IntegratorChannel

DAC

x2

x1

y2

y1

y

x

IncompleteIntegrator

Output Gen.

Output Gen.

Feedback Gen.

Sam

pler

Mux

Com

plete

Generator

Sam

pler

Use only what is availableAccount for the missing

term in the digital domain

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15

2-path Time Interleaved: Schematic

No op-amps for the second path

Use two DACs in the second input

Kye-Shin Lee; Yunyoung Choi, F. Maloberti, ISSCC 06

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16

2-path Time Interleaved: Circuit Schematic

63

Finally, to check the noise floor and the distortion of the integrators, a sine wave

with small amplitude was applied at the input, and the FFT was obtained from the

integrator output. The results showed that the noise floor of each integrator was -120dB,

with SFDR of 100dB.

5.4 Sigma-Delta Modulator

Fig. 5.20 shows the complete SC implementation of the 2-channel time-interleaved

sigma-delta modulator with the switch control clocks. For both integrators, the sampling

capacitor is shared with the feedback DAC, which improves the feedback factor. In

addition, identical reference voltages are applied to all feedback nodes. Table 5.5 shows

the effective load and feedback factor of each integrator.

Figure 5.20 SC Implementation of the TI Σ∆ modulator

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17

Spectrum of the Output

17

Measurement Results (1)

Output spectrum with -6dBFS input

-6dB@fin -6dB@fs,eff/2-fin

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18

Chip Micro-photograph

16

Chip Micrograph

DEM

1st Integ.

2nd Integ.

ADC2

ADC1

CLK Gen.O

utpu

tB

uffe

rTI ΣΔ Modulator

DEM

1st Integ.

2nd Integ.

ADC2

ADC1

CLK Gen.O

utpu

tB

uffe

rTI ΣΔ Modulator

Technology 0.18um CMOS, 1-poly / 5-metal, MIM Caps.

Core Area 1.1 mm2

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19

Summary of Performances

Supply voltage 1.8V

Effective sampling frequency 132MHz

Signal bandwidth 1.1MHz

Oversampling ratio 60

Reference voltage 0.8V

Input range ( differential ) 1.6Vpp

Peak SNR 81dB

Peak SNDR 78dB

DR 85dB

Power consumption 4.2mW ( analog ) 1.2mW ( digital )

Chip core area 1.1 mm2

Technology 0.18µm CMOS

FoM = 0.44 pJ/convFoM = 0.44 pJ/conv

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20

Comparing Results

21

Performance Comparison

ΣΔM SNDR FoM

Balmelli 2002 79dB 1.65

Gupta 2002 88dB 3.87

Jiang 2003 82dB 3.62

del Rio 2004 73dB 3.42

Gaggl 2004 78dB 0.56

Nam 2005 89dB 1.34

This work 76dB 0.48

#

1234567

FoM =Power

2(SNDR-1.76)/6.02 ×2BW[ pJ/con.-level ]

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21

Reduction of the Op-amp Swing

Reducing the output swing minimizes power consumption of

the OTA:

? the slew-rate requirements are relaxed

? the power consumed for charging capacitors is limited

? using power effective OTAs like single-stage telescopic schemes

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22

Use of Feedforward

40

Where it is assumed that ( ) 1211 1 EzXzY −− −+= . X and Y are input and output of the

modulator and E1 is the quantization error. Eq. (27) predicts for Y1 a reduced contribution due to

X because of the ( )11 −− z term.

The method corresponds to a feed-forward branch from the input of the system to that

of the second integrator. The SC implementation is straightforward and requires only an

additional SC architecture. The additional path slightly modifies the transfer function. By

inspection of the circuit, we obtain

( )[ ] ( ) 121111 11 EzXzzzY −−−− −+−+= (28)

Σ ΣΣX

1EY

11

1 −− za

1

12

1 −

− zza1Y

Y Y

X

Fig. 35. A second order modulator with a signal feed-forward

The additional term in the STF is negligible since it affects out-of-band frequencies.

Moreover, the bracketed term in eq. (28) can be compensated for in the digital domain.

Fig. 36 shows the histogram of the first integrator swings. Without the feed-forward, the

swing is ±0.70V and ±0.61V for 3-bit and 4-bit, respectively. But with the feed-forward and the

3-bit 0.2 V_FS 4-bit 0.1 V_FS

The output of the firstintegrator is almost quantization noise

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23

Use of Feedforward (ii)

Σ Σ11 −−z 1

1

1 −

−zzX YQε

ΣΣ

1

AdditionalOp-amp?

If the feedforward moves after thequantizer .....The swing at the input of thequantizer is also reduced.(!) Less levels in the flash required!!

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24

New Solution

Σ ΣX Y

Σ2

1

11

1 −

−zza

1

12

1 −

−zza N-bit

ADC

N-bitDAC

M-bitADC

K

M-bitADC

1−z1−z

ε

Very few levels

1

2

1 −−zaK =

Digital feedforward on the second ”input”

Compensation of the quantization noise with extra path

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Comparing Solutions

??

Conventional 3-bit Conventional 4-bit

3-bit 2-bit feedforward 4-bit 3-bit feedforward

7-comparators5-comparators

Less comparators than the 4-bit (!)

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Experimental results

Sunwoo Know, F. Maloberti, F. ISSCC 06

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Experimental results (ii)

Sampling frequency 144MHz

Signal bandwidth 2.2MHz

Oversampling ratio 32.7

Peak SNR 84dB

Peak SNDR 79dB

Dynamic range 88dB

Input range 2Vpp (differential)

Power consumption 5.1mW (A), 8.7mW(D)

Power supply 1.8V (A), 2.5V(D)

Active area 2.32mm2

Technology 0.18µm CMOS

FoM=0.47 pJ/c

onv

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Syntesis of the NTF

The z−1 → z−N transformation of an N-path scheme increases the orderof the NTF polynomial. For example, the noise transfer function

(1± z−1)k becomes

(1± z−N)k by using N-paths.

Consider a second order modulator and a z → z2 transformation

NTF ′ = (1− z−2)2 = 1− 2z−2 + z−4

which has the same order as the fourth order noise transfer function:

NTF4 = (1− z−1)4 = 1− 4z−1 + 6z−2 − 4z−3 + z−4

but is missing the terms −4z−1, 8z−2, and −4z−3.

Syntesis means generating the missing terms by suitable additions.

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Two-path BP Sigma-Delta

11+z-2

MUX

fck/2fck

F1

F2

Vin

fck/2

fck/2

11+z-2

z-2

z-1

fck/2

11+z-2

MUX

fck

F1

F2

Vin

fck/2

11+z-2

z-2

z-1

fck/2

S

S

e1

e2

(a)(b)

z-2

F1

F1

NTF = 1 + z−1 + z−2 → (1 + z−1 + z−2)3

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Experimental Results

10 4020 30 50 600

-120

-100

-80

-60

-40

-20

0

Spec

trum

[dB]

Frequency [MHz]

Ying Feng, F. Maloberti, ISSCC 05

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Extension of the technique86 dB DR Cross-Coupled Time-Interleaved Σ∆ ADC

for MEMS Microphone with 320 µA Current Consumption

Fig. 1. Proposed two-channel 2nd order time-interleaved structure using two 1st order integrators

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32

Chip Photo

Fig. 7 - Chip die photo

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Experimental results

Fig. 5. Measured power spectral density

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Summary of results

Fig. 4. System architecture.

Fig. 3 describes how to diminish the number of ADC

levels. The method relies on the correlation between input and delayed quantized output occurring for large OSR and multi-bit quantization. Since the difference is small, it is convenient to quantize the difference instead than the output value. Again, the subtracting term is accounted for in the digital domain being moved at the input of the integrator and combined with the digital signals used for the feedback path.

Also, the cross injection of the quantization errors (Fig. 1) is moved to the input of the integrator upon division by the integrator transfer function. Moreover, the analog and the digital terms of the quantization error are accounted for separately. Fig. 4 shows the complete architecture that incorporates the above-mentioned techniques. All the digital terms are added together before truncation and individual level averaging (ILA). The analog part of the quantization error that should be multiplied by (1-z-2) is conveyed at the input of the integrator for implementing the (1-z-2) multiplication by a directly connected capacitor.

Circuit Implementation and Measurements

The modulator, designed using a single poly and 6 metal 0.18 µm CMOS technology, has 13.4mm2 active area (Fig. 5). A two-stages op-amp with a folded cascode as first stage and switched capacitor common mode feedbacks achieves 100 dB dc gain, 6 MHz GBW and 100ns 1% settling response. The current consumption is 90 µA including biases.

The sampling capacitor is 1.2pF for securing the kT/C noise level required by the specifications. Only one quantizer is used working at master clock frequency, 3.2 MHz. The quantizer swing reduction enables using only 6 comparators for a 4-bit output code. The entire quantizer consumes 100 µA including the current of the pre-amplifiers and the dynamic current of the latches.

The measures, with a signal band 16 kHz corresponding to OSR=100, yield a peak SNR of 80 dB and dynamic range (that is more important for this application) of 86 dB. Fig. 6 shows that the output spectrum with a -35 dBv input sine wave is well shaped and tone free with the expected white floor caused by the kT/C noise and the op-amp noise. The use of input p-channel transistors with large area gives rise to a limited and affordable 1/f noise. The total system current is 320 µA corresponding to 600 µW consumption with 1.8 V supply. The relatively high voltage used is what is required by the MEMS microphone operation. However, the circuit operates well also at 1.5 V with a only 6dB performance degradation. The Table summarizes the obtained results.

Fig. 5. Chip microphotograph.

Fig. 6. FFT of 65,536 samples (Vin= -35 dB @ 4.35 kHz).

MEASUREMENT RESULTS

Sampling Frequency 3.2 MHz

Signal Band 16 kHz

Output Bits 4

Peak SNR 80 dB

SNDR, Vin @- 35 dBv 51 dB

Power Consumption 600 µW @1.8V

Dynamic Range 86 dB

Area 1.8 mm × 1.9 mm

References [1] O. Bajdechi, and J.H. Huijsing, “A 1.8 V ∆Σ modulator interface for

electrical microphone with on-chip reference”, IEEE Conference on Custom Integrated Circuits, pp. 31 - 34, May 2001.

[2] S. Rabii, and B. Wooley, “A 1.8V Digital-Audio Sigma-Delta Modulator in 0.8-um CMOS”, IEEE Journal of Solid-State Circuits, Vol. 32, pp. 783-796, Mar. 1997.

[3] F. Ying, F. Maloberti, “A Mirror Image Free 2-Path Band-pass Sigma-Delta Modulator with 73dB SNR and 85dB SFDR”, IEEE International Solid-State Circuits Conference, 2004, pp. 84-85.

[4] Kyehyung Lee, G. Temes, F. Maloberti, “Noise-coupled multi-cell delta-sigma ADCs”, to be published, 2007.

[5] J. Yu, F. Maloberti, “A low-power multi-bit sigma-delta modulator in 90nm digital CMOS without DEM”, Journal of Solid-State Circuits, 40, December 2005, pp.2428-2436.

Very low current figure of merit!

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ConclusionsData Converters for nomadic systems may need good resolution (SNR) but also ...

Low harmonic distortion

Low, low low power and voltage.

Solutions described here determine the following recommendation:Use digital circuitry for improving analog performances.

THANK YOU!

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