tutorial ahs11 srinivas
TRANSCRIPT
Design of ADCs with Adaptive
Resolution
A Mahesh Kumar, V. Sreehari, M.B. Srinivas
Birla Institute of Technology and Science
Hyderabad Campus, India
Outline of the Presentation
• Introduction
• ADC Performance Parameters
• ADC Architectures - Overview
• Adaptive ADCs
• Simulation Results
• Practical Applications
• Conclusion
Introduction
• What is an ADC ?
– An ADC is a circuit which converts analog signal (
Continuous form) to digital form (Discrete form)
Introduction
• Continuously varying analog signals are sampled at a fixed
rate.
• Sampled values are then expressed as a digital number, using a
binary numbering system.
A
t
Basic illustration of Analog to digital conversion
Analog-to-Digital
Converter
V
t
Introduction
• Every signal that can be measured is an analog signal f(t) i.e.,
continuous in time.
• Samples of the signal f(t) are taken at specified time intervals
T.
Introduction
• Sample and hold circuit needed for rapidly changing signals
(not compulsory, though)
• A simple sample-and-hold circuit,
Introduction
• Block diagram of an ADC
A
t
A
t
V
t
ADC
Analog i/p signal
Digital o/p signal
Sampled signal
S/H ADC Remaining
Ckt
Introduction
Introduction
Introduction
• Fundamental Characteristics of ADC are sampling
and quantization
Sampling - Convert a continuous time input signal to a
discrete time representation. The input signal must be band
limited to no more than ½ Fs to prevent aliasing.
Quantization - Convert a continuous amplitude input signal
to a discrete amplitude representation.
Introduction
• Sampling
Time domain Frequency domain
Introduction
• Nyquist-Rate Sampling – sampling at twice the signalfrequency; Otherwise, aliasing will occur.
• There are two ways to prevent aliasing:
– To sample fast enough to cover all spectral components,
including the ones outside band of interest (parasitics)
– To adequately filter all undesired signals (limit fin,max
through filtering) so the ADC does not digitize them.
Introduction
Oversampling (Upsampling)• Signal is sampled at a rate greater than Nyquist rate. If the
signal has bandwidth of fB, then fs>> fB
- Relaxes requirements on the preceding antialias filter
- Oversampling also helps to reduce the quantization noise.
Introduction
Subsampling (Downsampling or undersampling)• Sampling at a rate less than the Nyquist rate results in aliasing
in frequency domain. If the signal is centered at anintermediate frequency and band-limited, it is not necessarilydestructive. Subsampling can be exploited to mix anarrowband RF or IF signal down to a lower frequency.
Performance Parameters
• Resolution indicates no. of discrete values an ADC canproduce
• For example,
– An ADC that encodes an analog input to one of 256discrete values has a resolution of 8 bits. (2^8 = 256).
– Higher the resolution, more accurate the measurement.
• Voltage Resolution = overall voltage measurement rangedivided by no. of discrete values.
• For example,
– If full scale measurement is 0 to 10 V
and ADC resolution is 12 bits i.e., 2^12 = 4096 levels
– Voltage resolution = (10-0)/4096 = 2.44 mV.
Performance Parameters
• Performance of ADC is studied by its Static and Dynamic
parameters.
• Static Parameters: Describe the difference between the actual
points and the ideal points in the staircase transfer function of
ADC when converting DC signals
• Static parameters are Offset error, Gain error, Full scale error,
DNL (Differential Non-linearity), and INL ( Integral N0n-
linearity).
Performance Parameters
• Offset Error
– Offset error is the difference between the nominal and
actual offset points as shown below
Performance Parameters
• Gain Error
– Difference between the actual and ideal gain points
when offset has been reduced to zero, measured at
the rightmost
Performance Parameters
• Full Scale Error
– Full scale error is a measure of how far the last
code transition is from the ideal full scale maxi-
mum voltage.
Performance Parameters
• DNL (Differential Non-linearity)
– Maximum deviation in the difference between two
successive threshold points from 1LSB.
Performance Parameters
• INL (Integral Non Linearity):
– Maximum deviation of the transition point from the straight
line passed through the end points or best-fit. It is referred
to as the relative accuracy of a converter. If max INL is less
than 0.5LSB, the ADC is guaranteed to be monotonic.
Performance Parameters
– Dynamic parameters are related to AC specifications
such as resolution, sampling frequency and input
signal frequency.
– Important dynamic parameters are
– Signal-to-Quantization Noise Ratio
– Signal-to-noise ratio (SNR)
– Signal-to-noise and distortion ratio (SNDR)
– Effective number of bits (ENOB)
– Total harmonic distortion (THD)
– Spurious-free dynamic range (SFDR)
Performance Parameters
• Signal-to-Quantization Noise Ratio
– The ratio of the signal power to the quantization noise
power at the output, usually for a sinusoidal input signal.
Performance Parameters
• SNR (Signal-to-Noise Ratio) is given by the total noise
power (includes all bins except DC, signal, and 2nd through
7th harmonic)
Performance Parameters
• Signal-to-(Noise+Distortion) Ratio (SNDR) is the ratio
of the signal power to the noise and distortion power (includes
all bins except DC and signal) at the output for a full scale
sinusoidal input.
• SNDR depends on the amplitude and the frequency of the
sinusoidal input tone
Performance Parameters
• ENOB (Effective Number of Bits) is a global indication
of ADC accuracy at a specific input frequency and sampling
rate.
• ENOB – Obtained by measuring the peak of SNDR and is
defined by:
Performance Parameters
• Total Harmonic Distortion (THD) is the rms sum of all
harmonics in the output signal’s FFT spectrum. By
convention, total distortion power consists of 2nd through 7th
harmonic.
• In communications and RF applications, THD is often a more
important figure of merit for ADC than DC- nonlinearity.
Performance Parameters
• Spurious Free Dynamic Range (SFDR) is the differencebetween the maximum signal component and the largestdistortion component in dB. SFDR is important because noiseand harmonics restrict a data converter’s dynamic range.SFDR is very important for high frequency applications,where a spurs can be interpreted as adjacent channelinformation.
ADC Architectures - Overview
Flash ADC
• Flash ADC is the fastest ADC compared to any other ADC.
It is used for high-speed and very large bandwidth
applications.
Flash ADC• Disadvantages
– Large number of comparators
– Limited number of bits ( i.e., Low Resolution)
– Area & Power consumption.
– Larger input capacitance.
– Dynamic performance is poor.
• Applications
– Radar processing, digital oscilloscopes, high-density disk
drives, digital video, memory application.
Semi-Flash ADC
• Semi-Flash ADC (or Sub-ranging ADC) can beimplemented with two half resolution flash ADCs and adigital-to-analog converter (DAC). In this, number ofcomparators is reduced by a large number.
• Disadvantages
– DAC Inaccuracy
– Calibration techniques
– Area, power & speed
• Applications
– Telecommunication, Ethernet, video, control applications
Pipelined ADC
• Pipelined ADC can be implemented with at least two or
more low resolution flash ADCs . Each stage has a S/H circuit
to hold the amplified residue from the previous stage. The final
binary output is obtained after passing through digital error
correction logic.
Pipelined ADC
• Disadvantages
– Limitations due to several clock cycles needed
– Latency
– Medium Speed.
• Applications
– Digital imaging, Data transmission, satellite
communications.
SAR ADC
• SAR ADC is commonly called successive approximation
converter. Architecture of the SAR ADC consists of one
comparator, a DAC, and a successive approximation register.
SAR ADC
• Disadvantages
– Limited Sampling rates
– Low Input Bandwidth
– Low speed
– DAC linearity
• Applications
– Data-acquisition applications, Touch Screens, Pressure
Measurements, Medical Imaging, Multi-channel
applications.
Sigma Delta ADC
• SIGMA DELTA ADC is also called an over-sampling
ADC. It consists of two main blocks : One is the sigma delta
modulator that includes an integrator, a comparator, and a
single-bit DAC and the second a digital filter.
Sigma Delta ADC
• Disadvantages
– Limited Sampling rates
– Low speed
– DAC linearity
– Over Sampling Ratio (OSR)
• Applications
– Wireless infrastructure, Digital audio processing,
Temperature sensing applications.
ADC Architectures – A Comparison
• Popular ADC architectures are addressed w.r.t resolution,
sampling frequency and performance.
ADC Architectures – Summary
• A Summary of the ADC features
Why Adaptive ADCs?
• In Conventional ADC designs, once the ADC is designed its
resolution is fixed.
• Power consumption of the ADCs increases with resolution
Elements of the Proposed Adaptive
ADC• “Peak detector circuit and sub-flash architecture are
introduced to make ADC resolution “Adaptive”
• CMOS decoder circuit of the ADC is designed with symmetryfor high speed conversion, small area and low powerconsumption
Design of Adaptive ADCs
Adaptive ADCs
Peak Detector Circuit for Reconfigurability
• A Novel peak detector circuit is introduced to make the ADCresolution adaptive based on the input analog signal voltagelevel
• It consists of an amplifier, three diodes (D1, D2, D3),comparators and multiplexers.
• Peak value of the input analog signal is stored on the outputcapacitor labeled as Vc.
• Peak detector circuit is used to generate control signals to ADCto select the mode of operation as 4-bit or 6-bit or 8-bit based onanalog input signals and reference voltages V1, V2 and V3.
Adaptive ADCs
V 1
+
_
+
V 2 V3
D1 D 2 D3K1 K 2 K 3
MUX1 MUX2 MUX3
Digital Logic
C1 C2 C38bit 6 bit 4bit
A1 A2 A3
Vin
Vc
+ +
comp1 comp2 comp3
_ _ _
Bias Block
V1 V2 V3
Peak Detector Circuit for Adaptive Resolution
Adaptive ADCsPeak Detector Circuit - Operation
• The operation of the peak detector circuit is described in the
table below:
• Note: C1, C2, C3 are used for PMOS devices to turn ON/OFF
and their complements are used for NMOS devices in ADC.
Input
Voltage
Condition
Code for stages (Ex:
Comparators)
Code for out stages
(Encoders & MUXs)
C1 C2 C3 A1 A2 A3
Vin<V3 1 1 0 1 1 0
Vin<V2 1 0 0 1 0 1
Vin<V1 0 0 0 0 1 1
Adaptive ADCsPeak Detector Circuit (OTA)
• A gain boosting folded cascode OTA circuit is used in peak
detector circuit to provide high gain and fast settling time i.e.,
peak detector should track input signal variations very fast and
generate digital code to inverters/buffers, encoder and
multiplexer circuits.
Adaptive ADCs
Sub-Flash Architecture
• “Sub Flash Circuit” in the design makes the ADC resolution
“Adaptive” w.r.t input signal voltage level
• Comparators and resistor-bias circuits are dynamically
controlled with digital bits generated from sub flash circuit
• Power consumption changes w.r.t resolution.
Adaptive ADCs
• Sub-flash Circuit – Block Diagram
+ _
Vin
V1
V2
V3
+ _
+ _
COMP1
COMP2
COMP3
DIG
ITA
L L
OG
IC
C3
C2
C1
Adaptive ADCs
• Operation of the Sub-flash circuit is described in Table below
• A1, A2 and A3 bits for encoder and MUX are generated from
C1, C2 and C3 bits using separate logic
Input Condition C1 C2 C3
V2>vin & V3<Vin 1 1 0
V1>vin & V2<Vin 1 0 0
V1<Vin 0 0 0
Reference Circuits for the ADC
Adaptive ADCs
Bandgap Reference Circuit (BGR)
• BGR circuit is used to generate constant reference which is
independent of process, voltage and temperature.
• The building blocks for BGR circuit are start up circuit, error
amplifier and bandgap core.
Adaptive ADCs
Bandgap Reference Circuit (BGR)
• BGR circuit involves adding two voltages that have
temperature coefficients of opposite sign with suitable
multiplication constants generating a reference voltage. The
resulting voltage obtained is independent of temperature.
• Complementary to Absolute Temperature (CTAT)
• Proportional to absolute temperature (PTAT)
• The reference voltage at the output is
BEBEout VR
RRVV
3
322
3
22 1)ln(
R
RnVV TBE
Adaptive ADCs
BGR OTA
• BGR circuit opamp is designed for high gain, fast settling and
good stability to generate a reference voltage of 1.21V with
less than 2% error.AVDD
M3
4.8u/2u
MCS22
MCS21
16u/1u
16u/1u
M5
19.2u/2u
Vbias1
Vbias2
MCS11
8u/1u
8u/1u
M1
9u/2u
M2
9u/2u
M4
4.8u/2u
AVSS
Vp VnOUT
2K
2P
MCS12
Adaptive ADCs
Voltage Regulator Circuit
• Voltage regulator circuit is used to generate V1, V2 and V3
voltages that are used in peak detector circuit to compare
analog input levels
• It consists of Error Amplifier, Pass transistor and feedback
network as shown below
+
_
R1
R2
R3
R4
AVDD
MP50U/0.3U
BGIN
V3
V2
V1
AVSS
Realization of the Adaptive Flash ADC
Components of the Adaptive Flash ADC
• Voltage Comparator (Inverter-based & comparator-
based)
• Multiplexer-based Encoder circuit
• Complete Design [Integration of blocks]
Adaptive Flash ADC
Voltage Comparator (Inverter-based)
• Comparator is the most important component in the adaptive
flash ADC architecture, shown below
Proposed Inverter & its Voltage Transfer Characteristics
Adaptive Flash ADC
Features of the Inverter
• Programmable CMOS Inverter as comparator
• It consists of controllable inputs Vctrlp and Vctrln to operate the
inverter in active or stand-by mode
• Threshold voltages of the inverters are used as reference
voltages to quantize the analog input signal
• The proposed 8-bit design has 255 CMOS inverters with
different thresholds, designed based on input dynamic range.
• At the input, the analog signal quantization level is set by Vm
that depends on the W/L ratios of PMOS and NMOS
transistors
r
VVVrV
TnTpDD
m1
|)|(with
n
p
k
kr
Adaptive Flash ADC
• PMOS & NMOS transistor dimensions for desired switching
threshold voltage
Switching Threshold Voltage PMOS Dimensions (M1) NMOS Dimensions (M2)
102.7mV 5um/0.06um 10um/0.06um
105mV 5um/0.06um 9.95um/0.06um
107.7mV 5um/0.06um 9.9um/0.06um
. . .
450mV 5um/0.06um 5u/0.06um
. . .
795mV 9.9um/0.06um 5um/0.06um
797.3mV 9.95um/0.06um 5um/0.06um
800mV 10um/0.06um 5um/0.06um
Adaptive Flash ADC
Voltage Comparator (Conventional Comparator)
C1 and C1B are used to control resolution
INP INN
BIAS
C1
From Peak
Detector
CLK
OUTN
OUTP
P1 P1 P2 P2
N1 N1
N2 N2N3
P3C1B P3 C1B
Adaptive Flash ADC
Encoder Circuit
• The Encoder circuit is based on 2:1 multiplexers connected as a
tree.
• Has Regular structure, Low Hardware cost and shortest critical
path0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
b 3
1
1
1
1
1
1
1
1
1
1
b 2
b 1 1 b 0
0
0
0
0
0
0
0
0
1
1
1
1
1
11
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
b 3
b 2
b 1
b 0
(a) (b)
S
S
S
S
A
B
B
A
(c)
Adaptive Flash ADC
Encoder Circuit
• Advantages
– Gain Boosting, Symmetry, Low leakage, Low power
dissipation and Minimum area.
• Comparison of different types of encoders.
Type of Encoder No of MUX’s Critical Path
Wallace tree 171 MUX 18 tmux
4-level folded 81 MUX 12 tmux
Multiplexer
based
57 MUX 5 tmux
Adaptive Flash ADC
C1
C2
C15
C16
C62
C63
C254
C255
4bit
6bit
8bit
Encoder
3 to 1
MUX
(8)
4
6
8
8
peak detector circuitC1 C2 C3 A3 A2 A1
Analog Input
Vin
Vin
Flash ADC Circuit (Inverter-Based)
Adaptive Flash ADC
+
_
Vin
+
_
+
_
+
_
+
_
+
_
Vref
MP1
A1
ENCODER
peak detector circuitC1C2C3 Vin
4-bit
6-bit
8-bit
A3A2A1
8
6
4
3 to 1Mux(8)
C16
C1
C15
C63
C255
C64
8
Vref
MP3
A3
Vref
MP2
A2
CLK
Vref
Flash ADC Circuit (Conventional Comparator-based)
Adaptive Flash ADC
+
_
Vin
+
_
+
_
+
_
+
_
+
_
Vref
MP1
A1
ENCODER
&
MULTIPLEXER
BIAS & SUB-FLASH BLOCKS
C1C2C3 Vin A3A2A1
C16
C1
C15
C63
C255
C64
8
Vref
MP3
A3
Vref
MP2
A2
CLK
Vref
Flash ADC Circuit (with sub-flash architecture)
Adaptive Flash ADC
Operation
• Lowest Analog Input Voltage : The control signals C1 = C2
= C3 = 0 will turn on all the 256 inverters while pattern A1=0,
A2=A3=1 will select the 8-bit encoder and the output
multiplexer such that the ADC operates as an 8-bit converter.
Thus the lowest magnitude input signal results in the ADC to
operate in 8-bit mode.
• Medium Analog Input Voltage : The control signals C1, C2,
C3 will turn on inverters from 0 to 63 while the inverters
numbered from 64 to 255 are turned off. The control signals
A1, A2 and A3 will select 6-bit encoder and output
multiplexer such that the proposed ADC operates as a 6-bit
converter.
Adaptive Flash ADC
• Highest Analog Input Voltage : The control signals C1, C2,
C3 will turn on inverters from 0 to 15 while the inverters
numbered from 16 to 255 are turned off. The control signals
A1, A2 and A3 will select 4-bit encoder and output
multiplexer such that the proposed ADC operates as a 4-bit
converter.
Two-Step Adaptive Flash ADC with peak
detector and sub-flash circuits
Two-Step Adaptive Flash ADC
• Example : 6-bit Flash ADC circuit
Two-Step Adaptive Flash ADC
• Complete Block Diagram
Adaptive Pipelined ADC with peak detector and
sub-flash circuits
Adaptive Pipelined ADC
Stage1
On Chip Digital Logic with Error
Correction Circuit
2-bit
Analog input
Clock Generator
12 bit
Peak detector block forVariable
resolution
C1
C 2
V 3
On - chip
Voltage / current
Reference bias
V2 V1
C 3
A1
A2
A 3
Stage2
V3 V2 V1
Stage3 Stage4 Stage5 Stage12AMP
C3
CS
C3C1
C1
C2
S3
S2
S1
2- bit 2 -bit 2 -bit 2-bit 2-bit
Clock
Vref
CS
CS
CS - > Complementary Switch
C1 C2
• Block diagram with peak detector
Adaptive Pipelined ADC
Stage1
On Chip Digital Logic with Error
Correction Circuit
2-bit
Analog input
Clock Generator
12 bit
Sub-Flashblock forVariable
resolution
C1
C 2
V 3
On - chip
Voltage / current
Reference bias
V2 V1
C 3
A1
A2
A 3
Stage2
V3 V2 V1
Stage3 Stage4 Stage5 Stage12AMP
C3
CS
C3C1
C1
C2
S3
S2
S1
2- bit 2 -bit 2 -bit 2-bit 2-bit
Clock
Vref
CS
CS
CS - > Complementary Switch
C1 C2
• Block diagram with sub-flash circuit
Simulation Results
Simulation ResultsBandgap Reference Circuit
Montecarlo simulation of Bandgap reference circuit for 6-sigma variation under DC-temperature sweep, withtemperature ranging from -40 °C to 125°C. The Outputreference voltage variations is +/- 3%.
Typical Reference Voltage =1.18V
Simulation Results
Bandgap Reference Circuit
AC analysis of the op-amp in the band-gap reference circuit tofind gain, phase margin and unity gain-bandwidth for PVTcorners
DC Gain=100dB, PM=65deg, UGB=24MHz
Simulation Results
Voltage Regulator Circuit
• Transient analysis of the voltage regulator circuit to find
variation in V1, V2 and V3 reference voltages for PVT corners
Simulation Results
Voltage Regulator Circuit
• AC analysis of the op-amp in the voltage regulator circuit to
find gain, phase margin and unity gain-bandwidth for PVT
corners
DC Gain=78dB, PM=80deg, UGB=65MHz
Simulation ResultsPeak Detector Circuit
• Peak Detector circuit output for three voltages required for
variable resolution of ADC
Simulation Results
Peak Detector Circuit
• AC analysis of the op-amp in the peak detector circuit to find
gain, phase margin and unity gain-bandwidth for PVT corners
DC Gain=68dB, PM=45deg, UGB=415MHz
Simulation Results
Flash ADC
• Transient analysis of the flash ADC has been performed by
generating a ramp input going from 0 to 2.5V. Digital codes
have been obtained correctly, going from 0 to 255 for 8-bit
output, indicating that the ADC’s working is functionally
correct.
Simulation ResultsFlash ADC
Simulation Results
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
1 12 23 34 45 56 67 78 89 100 111 122 133 144 155 166 177 188 199 210 221 232 243 254
OUTPUT CODE
DN
L (
LS
B)
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
1 12 23 34 45 56 67 78 89 100 111 122 133 144 155 166 177 188 199 210 221 232 243 254
OUTPUT CODE
INL
(L
SB
)
• DNL of the ADC in
8-bit mode is +/- 0.4.
• INL of the ADC in 8-
bit mode is +/- 0.36.
Flash ADC (DNL & INL)
Simulation Results
FFT of the ADC output sine wave is shown below from whichSNR and SNDR values have been obtained at different inputfrequency ranges
Flash ADC (SNR & SNDR)
Simulation Results
• Effective number of bits (ENOB) of the adaptive flash ADC is
given in table below
I/P Frequency ENOB for 6-bits ENOB for 8-bits
200MHz 5.45 7.65
300MHz 5.50 7.60
400MHz 5.45 7.55
500MHz 5.40 7.50
600MHz 5.35 7.45
700MHz 5.30 7.40
800MHz 5.25 7.35
Flash ADC (ENOB)
Simulation Results
Static power consumption of the adaptive flash ADC andconventional flash ADC are compared in figure below
Flash ADC (static power consumption)
Simulation Results
Characteristic
Adaptive Flash ADC
Comparator
based
8-bit ADC
4-bit 6-bit 8-bit
DNL (LSB) 0.3 0.36 0.4 0.8
INL (LSB) 0.28 0.32 0.36 0.5
Input frequency 1.6Gs/sec 1.2Gs/sec 800Ms/sec 800Ms/sec
SNR 25dB 35.2dB 47dB 44.6dB
SNDR 24.5dB 34.6dB 46.3dB 44dB
ENOB 3.77 5.45 7.4 7.0
Avg.Power(mw) 3.5mw 9mw 21.5mw 70mw
Layout Area (um2) 850 x 850 1400 x 1400
Power supply (v) 2.5 2.5 2.5 2.5
Simulation ResultsSemi Flash ADC
Simulation Results
• DNL of the ADC in
6-bit mode is +/- 0.4.
• INL of the ADC in 6-
bit mode is +/- 0.36.
Semi Flash ADC
Simulation Results
FFT of the ADC output sine-wave is plotted below from whichSNR and SNDR values have been obtained at different inputfrequency ranges
Semi Flash ADC
Simulation Results
• Effective number of bits (ENOB) of the adaptive semi-flash
ADC is given in Table below
I/P Frequency No of bits ENOB
100MHz 12 11.25
200MHz 12 11.10
300MHz 12 10.95
400MHz 12 10.80
500MHz 12 10.65
600MHz 12 10.50
Semi Flash ADC
Simulation Results
Characteristic
Inverter based Semi Flash ADC
DESIGNComparator
based
8-bit ADC
12-bit 10-bit 8-bit
DNL (LSB) 0.4 0.36 0.3 0.8
INL (LSB) 0.35 0.32 0.28 0.5
Input frequency 0.8Gs/sec 0.9Gs/sec 1Gs/sec 800Ms/sec
SNR 68.5dB 59.43dB 47.8dB 44.6dB
SNDR 66.7dB 58.35dB 46.91dB 44dB
ENOB 10.8 9.4 7.5 7.0
Avg.Power(mw) 16mw 12mw 8mw 40mw
Layout Area (um2) 650 x 650 900 x 900
Semi Flash ADC
Simulation Results
• DNL of the pipelined
ADC in 12-bit mode
is +/- 0.25.
• INL of proposed
ADC in 12-bit mode
is +/- 0.50.
Pipelined ADC
Simulation Results
The FFT of the ADC output sine-wave is plotted from whichSNDR values have been obtained
Pipelined ADC
Simulation Results
• Effective number of bits (ENOB) of the proposed ADC is
given in Table below
I/P Frequency No of bits ENOB
1KHz 12 11.5
10KHz 12 11.37
1MHz 12 11.23
10MHz 12 11.18
Pipelined ADC
Simulation Results
8-bit 10-bit 12-bit
DNL (LSB) 0.18 0.22 0.25
INL (LSB) 0.38 0.45 0.5
Input frequency 150Ms/sec 150Ms/sec 150Ms/sec
SNR 48.3dB 59.6dB 71.5dB
SNDR 47.75dB 58.46dB 69.1dB
ENOB 7.64 9.42 11.18
Power (mW) 16mW 20mW 24mW
Pipelined ADC
Characteristic
Practical Applications of Adaptive ADCs
• Adaptive Resolution of ADC is highly desirable in manywireless mobile applications. For example, the strength of aradio frequency (RF) signal varies greatly depending ongeographic location
• Resolution of the adaptive ADC will reduce upon reception ofa strong signal, and will increase for a weak signal.
• Substantial reduction of power consumption at lowerresolution will prolong the battery life for mobile devices.
Conclusion
• A novel ADC architecture with adaptive resolution has beenproposed. It employs a novel peak detector and sub-flashcircuit to achieve high performance
• The proposed ADC, designed in standard CMOS technology(65nm, thick gate process) offers higher data conversion rateswhile maintaining a comparable power consumption. Theperformance of the ADC has been studied over the process,power supply and temperature (PVT) variations
• It has application in wideband RF, wireless in local loop,radar/communications and universal computer networkadaptor, etc…
Publications• Journal
1 A. Mahesh Kumar, Sreehari Veeramachaneni, and M. B. Srinivas “A NovelLow Power, Variable Resolution Flash Analog-to-Digital Converter” J.Low Power Electronics 5, 279–290 (2009).
• Conference Papers
1 A Mahesh Kumar, Sreehari Veeramachaneni, Venkat Tummala,M.B.Srinivas, “Design of a Low Power, Variable-Resolution FlashADC", In the Proceedings of the 22nd IEEE/ACM InternationalConference on VLSI Design and Embedded Systems (VLSI DESIGN -2009),New Delhi , India, 5th -9th January 2009
2 A. Mahesh Kumar, Sreehari Veeramachaneni , M.B.Srinivas, “A NovelLow Power, Variable Resolution Pipelined Analog to DigitalConverter”, In the proceedings of the 22nd IEEE International SOCconference (IEEE SOCC 2009) 9th -11th September 2009 in Belfast,Northern Ireland, UK.