Successive Approximation Analog to Digital Converter

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    ENGR 298

    Successive Approximation Analog to Digital

    Converter

    Presented to

    Ali M. Zargar

    On

    April 30, 2010

    By

    Team Number 7

    Nila Barot

    Committee Members

    Faculty Reader

    Prof. Morris Jones, Retired from Intel Corp.

    Industrial Sponsor

    Srenik Mehta, Atheros Comm.

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    2010

    Nila Barot

    ALL RIGHT RESEREVED

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    APPROVED FOR THE GENERAL ENGINEERING DEPARTMENT

    Morris Jones

    Srenik Mehta

    __________________________________________

    Ali M. Zargar

    APPROVED FOR THE UNIVERSITY

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    ABSTRACT

    This master project report contains implementation of design and economic justification of SAR

    ADC. The main motivation is to implement design of capacitor array DAC and achieve high

    speed with medium resolution using 45nm technology. The current SAR architecture has in built

    sample and hold circuit, so there is significant saving in chip area. The other advantage is

    matching of capacitor can be achieved better then resistor. The market and cost analysis says

    current SAR ADC has better future.

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    ACKNOWLEGEMENT

    Writing and implementing this master project was a very rewarding for me. I would like to say

    thanks to my project guides Prof. Morris Jones and Srenik Mehta for their guidance and support

    for design the SAR ADC using capacitor array DAC. I would like to say thanks to Prof. Ali

    Zargar for his direction to planning and writing this master project report. Finally, thanks to the

    readers of this project report for their suggestions and comments.

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    Contents

    1. Introduction............................................................................................................................................... 8

    1.1 Selection of the right ADC architecture.............................................................................................. 8

    1.2.1 SAR ADC Architecture................................................................................................................... 8

    1.2.2. Advantages and limitations............................................................................................................. 9

    1.3 VNB company................................................................................................................................. 10

    2. Objective................................................................................................................................................. 10

    2.2 Summary of phenomena................................................................................................................... 10

    2.3 Description of Internal Major Blocks............................................................................................... 12

    2.3.1 Design of Capacitor array DAC................................................................................................. 12

    2.3.2OperationforbinaryweightedcapacitorarrayDAC................................................................. 13

    2.3.3 SAR Logic................................................................................................................................. 17

    2.3.4 Design of Comparator................................................................................................................ 18

    2.4.1 Experimental Procedures............................................................................................................... 23

    2.4.1.1Staticparameters.................................................................................................................... 24

    2.4.1.2 Dynamic parameters............................................................................................................... 24

    2.4.2 Resources Utilized......................................................................................................................... 25

    2.4.3 Project Schedule............................................................................................................................. 25

    3. Literature Survey.................................................................................................................................... 26

    4. Economic Justification............................................................................................................................ 28

    4.1 Executive Summary.......................................................................................................................... 28

    4.2. Market Survey.................................................................................................................................. 28

    4.3. Current SAR ADC........................................................................................................................... 33

    4.4 Cost Survey....................................................................................................................................... 34

    5. Applications of Data Converters............................................................................................................. 35

    6. Cost Analysis.......................................................................................................................................... 36

    6.1 Human Resources

    .............................................................................................................................

    36

    6.2 Product Cost...................................................................................................................................... 37

    6.3. Product Revenue.............................................................................................................................. 38

    6.4 Breakeven Analysis.......................................................................................................................... 39

    6.5 Profit & Loss Analysis...................................................................................................................... 42

    6.6 SWOT Assessment........................................................................................................................... 44

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    7. Relevance of core courses....................................................................................................................... 45

    8. Conclusion.............................................................................................................................................. 46

    9. Future Work............................................................................................................................................ 46

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    1. Introduction

    1.1 Selection of the right ADC architecture

    The selection of the right architecture is a very crucial decision. The following figure 1 shows

    the common ADC (Analog to Digital Converter) architectures, their applications, resolutions and

    sampling rates. Sigma Delta ADC architectures are very useful for lower sampling rate and

    higher resolution (approximately 12-24 bits). The common applications for Sigma-delta ADC

    architecture are found in voice band, audio and industrial measurements. The Successive

    Approximation (SAR) architecture is very suitable for data acquisition; it has resolutions ranging

    from 8bits to 18 bits and sampling rates ranging from 50 KHz to 50 MHz. The most effective

    way to create a Giga rate application with 8 to 16 bit resolution is the pipeline ADC architecture.

    (Kester, W. 2005, June)

    Figure 1 ADC architecture, applications, resolution, and sampling rates. (Kester, W. 2005, June)

    1.2.1 SAR ADC Architecture

    The SAR architecture mainly uses the binary search algorithm. The SAR ADC consists of fewer

    blocks such as one comparator, one DAC (Digital to Analog Converter) and one control logic.

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    The algorithm is very similar to like searching a number from telephone book. For example, to

    search a telephone number from telephone book, first, the book is opened and the number may

    be located either in first half or in the second half of the book. Further, relevant section is divided

    into half. This procedure can be followed until finding relevant number. (Moscovici, A. 2001)

    Figure 2 Block diagram of SAR ADC which has a capacitive DAC, a comparator and a digital

    logic ( BP Ginsburg, A. C. 2007).

    1.2.2. Advantages and limitations

    The main advantage of SAR ADC is good ratio of speed to power. The SAR ADC has compact

    design compare to flash ADC, which makes SAR ADC inexpensive. The physical limitation of

    SAR ADC is, it has one comparator throughout the entire conversation process. If there is any

    offset error in the comparator, it will reflect on the all conversion bits. The other source is gain

    error in DAC. However, the static parameter errors do not affect dynamic behavior of SAR

    ADC. Furthermore, higher the speed, it is difficult to obtain the dynamic behavior of ADC. One

    solution is to use time-interleaved converters. (Moscovici, A. 2001)

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    1.3 VNB company

    Currently, VNB Company has one student engineer named Nila Barot and two expert guides Prof. Morris

    Jones (Ex. VP of Intel) and Srenik Mehta (Director of Analog Design at Atheros). Data convertor is

    major product of company. Company has started business during year 2009, and currently company has

    implemented the SAR ADC design. Furthermore, performance testing of SAR ADC is under progress.

    2. Objective

    The Data Converters are widely used in wireless communication, digital audio and video

    applications. There are many kind of ADC such as flash ADC, Integrating ADC, pipeline ADC

    and SAR ADC. The SAR ADC can be build using resistor string DAC or Capacitor array DAC.

    The current SAR ADC design uses capacitor array DAC using 45nm CMOS (Complementary

    Metal oxide Semiconductor) technology. (BP Ginsburg, A. C. 2007)

    2.2 Summary of phenomena

    The main goal of this project is to design a successive approximation (SAR) ADC using binary

    weighted split capacitor array DAC. The basic algorithm of binary search is to convert analog

    signal into digital signal/quantized form. The conversion process starts after discharging the

    capacitors. During sampling mode capacitor array is charged by vIN (input voltage). During

    charge redistribution mode, MSB (Most Significant Bit) set to one and remaining bits set to zero.

    The MSB capacitor is charge to Vref (Reference Voltage). If Comparator output is high, bottom

    plate of MSB capacitor remains connected to Vref. On the other hand, if comparator output is

    low, the MSB capacitor connects to the ground. The conversion process continue for the next

    largest MSB same way, and the second largest capacitor charges to Vref while the remaining

    LSB (Least Significant Bit) capacitor array connect to the ground. If the comparator output is

    high, the second largest MSB capacitor connects to Vref otherwise it connects to the ground.

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    This process continues until the last conversion. The figure 3 shows the logic over view of SAR

    ADC, where Vx is voltage at top plate of capacitor

    Figure 3. Logic over view of SAR ADC

    Discharge

    Sample

    Hold

    Vx>VCM?

    Bi=0

    Bitcycle

    Start

    Y

    N

    Bi=1

    Bitremain

    UnchangedBitchanged

    toZero

    Vx=Vx+Vref/

    2^(i+1)

    Vx=VxVref/

    2^(i+1)

    >N

    Stop

    I=i+1,Bi=1N

    Vx=VCM

    Vx=VCM

    Vx=Vin+VCM

    Vx=Vin+VCM+Vref/2

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    2.3 Description of Internal Major Blocks

    As mentioned in summary of phenomena, the SAR ADC consists of three major blocks such as a

    comparator, a successive approximation register (SAR), and a DAC. The current SAR ADC

    builds using following blocks:

    Capacitor array DAC Comparator Control logic.

    2.3.1 Design of Capacitor array DAC

    The conventional binary weighted capacitor array has limitation for higher resolution due the

    larger capacitor ratio from MSB capacitor to LSB capacitor. To eliminate this problem, one

    technique can be applied known as split capacitor technique. (BP Ginsburg, A. C. 2007). For

    example, to achieve the 8bits resolution, the capacitor array can be splited as shown in following

    figure 4. The attenuation capacitor divides the LSB capacitor array and MSB capacitor array.

    Here, the ratio between LSB to MSB capacitor (C to 8Cc) reduces drastically compare to the

    conventional binary weighted capacitor array (C to 128C). (Baker, J. R., Li, H. W., & Boyce, D.

    E.1998)

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    Figure 4. Split capacitor array DAC for 8 bits resolution (Baker, J. R., Li, H. W., & Boyce, D. E.,

    1998)

    2.3.2OperationforbinaryweightedcapacitorarrayDACThe capacitor array works in four different phases such as

    Discharge Sample Charge transfer (Hold) Charge redistribution

    The following paragraphs describe all the phases in detail.

    2.3.2.1DischargephaseDuring discharge phase, comparator act as unity gain buffer as shown in figure 5, and the reset

    switch is on. All bottom plates of capacitor array are connected to VCM. (In this case 0.5V),

    C C 2C8C C2C 8C4C

    16/15CAttenuation Capacitor

    VCM

    Vin

    Vrefn

    Vrefp

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    hence voltage across capacitor plate are zero. As shown in figure 5, Vx is voltage at top plate of

    capacitor array, and VCM is common mode voltage.

    Figure 5. Discharge phase

    2.3.2.2SamplingphaseDuring sampling phase bottom plates of capacitor array are connected to Vin as shown in figure

    6. The reset switch still on hence the top plate is on VCM; and voltage across capacitor array is

    Vin-VCM.

    Figure 6. Sampling Phase

    2 C

    Vin VCM

    2 C

    VCM VCM

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    2.3.2.3Chargetransfer/HoldphaseDuring Charge transfer phase, bottom plates of capacitor array are switched to VCM and top

    plates are floating as shown figure 7. In this phase, reset switch is off. Hence, Voltage at top

    plate Vx, which is as follows:

    Vx= VCM - (Vin-VCM) = -Vin.

    For example: Vin = 0.7V

    Vx=0.5- (0.7-0.5)

    =0.5-0.2=0.3V

    Figure 7. Charge transfer Phase

    2.3.3.4ChargeredistributionphaseDuring the Charge redistribution phase, first the MSB is set to high, and the bottom plate of

    MSB capacitor is connected to Vrefp (Reference voltage Positive) (In this case 1V) as shown in

    figure 8. The other remaining bits are set to zero, hence bottom plates of these capacitors are

    connected to Vrefn (Reference voltage Negative) (In this case GND). If the comparator output is

    high, the MSB reset to high and bottom plate of MSB capacitor remains connected to Vrefp. If

    2 C

    VCM

    VCM

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    Comparator output is low, the bottom plate of MSB is then connected back to the GND. The

    voltage at top of the capacitor array Vx is:

    Vx = -Vin + Vos + D N-1 * (Vrefp/2)

    = 0.3 + Vos+ 1*(1/2)* 1(for time being Vos=0)

    =0.8 V

    Figure 8. Charge redistribution phase (MSB set to High)

    Then, the next largest capacitor is tested in the same manner clearly shown in figure 9. The

    conversion process continues until the last bit. (Baker, J. R., Li, H. W., & Boyce, D. E. 1998)

    2 C

    Vref

    VCM

    Vrefn

    2 C

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    Figure 9. Testing second largest bit during charge redistribution phase

    2.3.3 SAR Logic

    SAR logic is purely a digital circuit, and it consists of three major blocks;

    Counter Bit register Data register

    The counter provides timing control and switch control. For 8 bits conversion, seven DFFs (D

    flip-flops) are used. The following table 1 explains which bit set to high during different phases

    of SAR operation.

    Phase q0 q1 q2 q3 q4 q5 q6

    Discharge/Reset 0 0 0 0 0 0 0

    Sample/ Reset 1 0 0 0 0 0 0

    Vref

    VCM

    Vrefn

    2 C

    Vrefn

    2 C

    2 C

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    Hold (charge Transfer) 1 1 0 0 0 0 0

    Test7 [D7] 1 1 1 0 0 0 0

    Test6 [D6] 1 1 1 1 0 0 0

    Test5 [D5] 1 1 1 1 1 0 0

    Test4 [D4] 1 1 1 1 1 1 0

    Test3 [D3] 1 1 1 1 1 1 1

    Test2 [D2] 0 1 1 1 1 1 1

    Test1 [D1] 0 0 1 1 1 1 1

    Test0 [D0] 0 0 0 1 1 1 1

    Unused 0 0 0 0 1 1 1

    EOC (end of conversion) 0 0 0 0 0 1 1

    Table 1. Control of switches during different four phases

    2.3.4 Design of Comparator

    2.3.4.1 Characterization of a comparator

    A comparator is a circuit, which has a binary output and its value is based on a comparison of

    two analog inputs. The output of the comparator is high (VOH) when the difference between the

    non inverting and the inverting inputs is positive. The output is low (VOL) when the difference

    is negative, which clearly shown in figure 10. This is an ideal behavior of comparator, which is

    impossible in a real time.

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    Figure 10. Ideal Transfer curve of comparator (Anonymous)

    Ideally, output of comparator is defined as follows:

    Practically, comparator cannot achieve infinite gain; hence, the output is defined as follows:

    (Anonymous)

    Figure 11. Transfer curve of comparator with finite gain (Anonymous)

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    Another important characteristic of comparator is slew rate. If the input voltage is larger which

    will results into a smaller delay time. However, it has upper limit. (Philips E. Allen 2002)

    Another non- ideal characteristic of comparator is input offset. The output of comparator does

    not change until the input difference reached the input offset Vos. The figure 12 shows the

    transfer characteristic of comparator with input offset. The output is defined as follows:

    (Philips E. Allen 2002) and (Anonymous)

    Figure 12. Transfer curve of a comparator including input offset voltage (Anonymous)

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    Figure 13. Ideal Comparator with gain 1000, Vm (0 10 1V), Vp(0.3V)

    Input voltage Vm varies from 0 to 1V while another input Vp is set nearly 500mV. The result of

    simulation is shown in figure 14.

    Figure 14. Simulation data of ideal comparator with gain 1000

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    Furthermore, often a comparator is placed in noisy environment; hence, the output of comparator

    is noisy. By adding hysteresis into the comparator, better results can be achieved. The hysteresis

    can be added by adding positive feedback externally or internally. For current SAR ADC internal

    positive feedback is used. (Philips E. Allen 2002)

    2.3.4.2 Regenerative comparator

    There are many types of comparator such as two stage open loop comparator, discrete time

    comparator and folded cascade comparator. For current SAR ADC design, discrete time

    comparator is used. The discrete time comparator works on some portion of time, and it is clock

    driven.

    The block diagram of comparator is as shown in figure 15. The first stage is pre amplification

    stage to amplify the input signal. The second stage is decision circuit or sense amplifier with

    latch. The current regenerative comparator uses positive feedback for comparison of two signals.

    The latch works on two phases, one disable the positive feedback and other phase enables the

    latch. The latch keeps the voltage high or low relative to its value. The last part of comparator is

    an output buffer. (Baker, J. R., Li, H. W., & Boyce, D. E. 1998), and (Philips E. Allen 2002)

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    Figure 15 Three stage Comparator block diagram (Baker, J. R., Li, H. W., & Boyce, D. E., 1998)

    2.4.1 Experimental ProceduresReferred the different internal blocks circuits from literatures, books and online materials, and

    applied the concepts to the circuits. The next phase is mathematical calculation which were done

    using Microsoft Excel and manually.

    The schematic capture is done using the Cadence Composer Tool. The next task was to simulate

    the design at circuit level, and to integrate all the circuits to check the functionality. Another

    major task was to measure the performance evaluation. The performance parameters are the

    essential part of any kind of design to satisfy the design specification. There is two kinds of

    parameter of ADC; one is static and other is dynamic. The static parameters are offset error, gain

    error, Integral Non linearity (INL), and Differential Non linearity (DNL). While the dynamic

    Preamplification

    SenseAmplifier

    /DecisionCircuit Postamplification

    F

    r

    o

    m

    c

    a

    p

    a

    c

    i

    t

    o

    r

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    parameters are, signal to noise ratio (SNR), ENOB (Effective Number of Bits), and Total

    harmonic distortion.

    2.4.1.1StaticparametersOffset error is defined as the difference between the actual value and theoretical value of input

    voltage required to obtain the transition from first code 00000 to next code 00001.

    (Moscovici, A. 2001)

    Gain error is defined as ratio of difference between actual maximum input voltage and actual

    minimum input voltage to difference between theoretical maximum input voltage and theoretical

    minimum input voltage. (Moscovici, A. 2001)

    Integral Non-linearity (INL) is defined as the difference between the data converter code

    transition points and straight line with all other error set to zero. (Baker, J. R., Li, H. W., &

    Boyce, D. E. 1998)

    Differential Non-linearity (DNL) is defined as difference between the actual code width of a

    non-ideal converter and ideal case. (Baker, J. R., Li, H. W., & Boyce, D. E. 1998)

    2.4.1.2 Dynamic parametersSignal to Noise Ratio (SNR) is ratio of the value of the highest RMS (Root Mean Square) input

    signal to the RMS value of the noise. (Baker, J. R., Li, H. W., & Boyce, D. E. 1998)

    Effective numbers of bits (ENOB) specifies the dynamic performance of an ADC at a specific

    input frequency and sampling rate. (Maxim Integrated Product 2010)

    Total harmonic distortion (THD) is defined as the ratio of the RMS sum of the selected

    harmonics of the input signal to the fundamental itself. (Maxim Integrated Product 2010)

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    2.4.2 Resources Utilized

    For the design and simulation, Microsoft Excel and Cadence tools are used. For the

    implementation of the design, Cadence Composer tool is used. In the next step is simulated the

    design using the Cadence Circuit Simulator and the performance parameters are checked

    2.4.3 Project Schedule

    This Project contains two phases; Phase I and Phase II. Both the phases involve the eight major

    tasks. Each task has approximately eleven to sixteen days duration. The Table 1 and Gnatt Chart

    present the activities of phase II as shown in following.

    Task

    No

    Task Nos. of

    Days

    Start Time Finish

    Time

    Status

    1 Design of Capacitor array DAC 16 1/22/10 2/12/10 Completed

    2 Design of control Logic 11 2/12/10 2/26/10 Completed

    3 Design of Comparator 15 2/26/10 3/18/10 Completed

    4 Integration of all blocks 4 3/18/10 3/23/10 Completed

    5 Simulation of Data Convertor 18 3/23/10 4/16/10 Completed

    6 Performance Evaluation 11 4/16/10 4/30/10 Under Progress

    7 Final Report 6 4/09/10 4/16/10 Completed

    8 Final Report Presentation 6 4/23/10 4/30/10 Under Progress

    Table 2 Project Schedule for Project Phase II

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    Figure 16. Gnatt Chart for Project Phase II

    3. Literature Survey

    Several IEEE documents, companys websites and on line newsletters are analyzed. The table 3

    shows the summary of performance of a SAR ADC for 65nm CMOS technology.

    Table 3. Summary of Performance (BP Ginsburg, A. C. 2007)

    Technology 65 nm CMOS 1P6M

    Supply Voltage 1.2v

    Sampling Rate 500 MS/s

    Resolution 5 bits

    Input Range 800m Vpp Differential

    SNDR(fin=3.3 MHz) 27.8 dB

    SNDR(fin=239 MHz) 26.1dB

    SFDR(fin=239 MHz) -41.5dB

    DNL 0.26 LSB

    INL 0.16 LSB

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    Texas Instruments have announced the 16, 14, 12 bits six channel simultaneously sampling

    analog to digital converter. The maximum data rate per channel is around 500kSPS [3]. The

    following data shows the detail features about six channel SAR ADCs. (Incorporated, T. I. 2009,

    August).

    Features of six channel SAR ADCs

    Family of 16, 14, 12 bits, Pin and software Compatible ADC Six SAR ADCs Grouped in three Pairs Maximum Data Rate Per Channel with Internal Conversion Clock and Reference:

    ADS8556: 630kSPS (PAR) or 450kSPS (SER)

    ADS8557: 670kSPS (PAR) or 470kSPS (SER)

    ADS8558: 730kSPS (PAR) or 500kSPS (SER)

    Maximum Data Rate with External ConversionClock and Reference:

    800kSPS (PAR) or 530kSPS

    Pin Selectable or Programmable Input VoltageRanges: Up to 12V

    Excellent Signal to Noise Performance:91.5dB (ADC8556)

    85 dB (ADS8557)

    73.9 dB (ADS8558)

    Programmable and Buffered InternalReference: 0.5V to 2.5V and 0.5V to 3.0V

    Operating Temperature Range:

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    -40 C to +125 C

    LQFP -64 Package (Incorporated, T. I. 2009, August)

    4. Economic Justification

    4.1 Executive Summary

    Currently, VNB Company has one full time student engineer from San Jose State University

    under the guidance of Professor Morris Jones (Ex. VP of Marketing at Intel Corporation) and

    Srenik Mehta (Director of Analog Design at Atheros). The present job of the VNB Company is

    to implement the design of SAR ADC using 45nm technology.

    To achieve this mission VNB Company, currently uses resources from SJSU Electrical

    Department Lab. Additionally, for research VNB company explores the library database, books

    and online materials. These equipments and materials are easily accessible and economical.

    The Companys progress seems to be satisfactory, and profit of approximately $1.5 million is

    expected to be achieved within first five to six years. To accomplish a target the Company is

    putting hours of hard work, and it also needs initial funding of approximately $250,000.

    The wireless communication and battery powered equipment companies are target user of VNB

    products.

    4.2. Market SurveyThere are many IC companies, which make different kinds of data convertors. The following is

    list of some companies, which make data converters:

    Analog Devices National Semiconductors

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    Texas Instruments Maxim Cirrus Logic Universal Semiconductor, Inc Accord Solutions, Inc Aimtron Technology Analog Microelectronics Arizona Microtek, Inc CE Infosys GmbH Empire Technology Group Euram Electronics Source, Inc Foresight Technologies, Inc Quickfilter Technologies Inc. Royal Philips Electronics Shanghi Belling Co. Ltd Smith Semiconductor, Inc Swindon Silicon Systems T.D Stringer THine Electronics, Inc Yeeuntech Co. Ltd (Global Spec, 1999-2000)

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    Analog Devices announced a few new releases, which have SAR ADC architectures ranging

    from 6-bit, 8-bit, and 12-bit up to 28-bits. The newly released data converters are applicable for

    low power and high-speed application. (Analog Devices I., 1995-2009)

    The table 4 shows important features for currently released AD7985/AD7980, and similar

    products.

    Table 4. Products and its features (Analog Devices, 2009) and (Analog Devices I., 1995-2009)

    Product ID Resolution

    bits

    Speed

    MSPS

    Power

    Consumption(mw)

    AD7985 16 2.5 15.5

    AD7980 16 1.0 7.0

    AD7450A 12 1 9

    AD7450 12 1 9

    AD7451 12 1 9.25

    AD7440 10 1 9

    AD7441 10 1 9.3

    AD7983 16 1.33 12

    AD7623 16 1.33 55

    AD7622 16 2 85

    AD7621 16 3 86

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    National Semiconductor has a large variety of ADCs, which have sampling rate ranging from

    kSPS (Kilo Samples Per Second) to GSPS (Giga Samples Per Second). Here, in table 5, few

    products are listed which use SAR ADC architecture. The resolution range is from 8 to 12 bits.

    In addition the Graph 1 shows comparison between Analog Devices and National

    Semiconductor. (Anonymous, 2009, June)

    Product ID Resolu

    tion

    (bits)

    Speed

    (kSPS)

    Power

    Consumption(mw)

    3V

    Power

    Consumption(mw)

    5v

    Supply

    Voltage

    ADC081C021 8 5.5 to 189 0.26 0.78 2.7 to 5.5

    ADC101C021 10 5.5 to 189 0.26 0.78 2.7 to 5.5

    ADC121C021 12 5.56 to189 0.26 0.78 2.7 to 5.5

    ADC081C027 8 5.5 to 189 0.26 0.78 2.7 to 5.5

    ADC101C027 10 5.5 to 189 0.26 0.78 2.7 to 5.5

    ADC121C027 12 5.56 to189 0.26 0.78 2.7 to 5.5

    Table 5 National Semiconductor products, resolution, speed, power and supply voltage

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    Graph 1 Comparison between Analog Devices and National Semiconductor

    National Semiconductor has similar products for ultra high speed and medium resolution;

    however, those products use pipeline architecture. The table 6 contains product ID and its

    resolution with corresponding speed.

    Product ID Resolution bits Speed (GSPS)

    ADC081000 8 1

    ADC08D1000 8 1

    ADC08D1020 8 1

    ADC081500 8 1.5

    ADC08D1500 8 1.5

    0

    0.5

    1

    1.5

    2

    2.5

    3

    3.5

    8 8 10 10 12 12 12 16 16 16 16

    SpeedinMSPS

    Resolutioninbits

    SpeedVsResolution

    SpeedMSPS(National

    Semiconductor)

    SpeedMSPS(AnalogDevice)

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    ADC08D1520 8 1.5

    ADC083000 8 3

    ADC08B3000 8 3

    Table 6 National Semiconductors ultra high speed and medium speed products (Anonymous,

    2009, June)

    4.3. Current SAR ADC

    From the market survey, the SAR ADC has resolution from 8 to 16 bits with sampling rate few

    kSPS to few MSPS. The current SAR ADC has resolution of 8 bits and sampling rate more than

    50 MSPS. The current SAR ADC will be useful for high speed with medium resolution

    application. The following graph 2 shows a clear picture for the current SAR ADCs comparison

    with Analog Device and National Semiconductor SAR ADCs in terms of sampling rates and

    resolutions.

    Graph 2 Analog Devices, National Semiconductor and current SAR ADC

    6

    8

    10

    12

    14

    16

    18

    1.00E+02 1.00E+04 1.00E+06 1.00E+08

    Resolution

    SamplingRate

    AnalogDevices

    NationalSemi

    Current

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    The design specification mentioned under following table no. 7 is for the current SAR ADC.

    Table 7. Targeted and Achieved Design specification for 8 bit SAR ADC

    4.4 Cost Survey

    The sampling rate of Analog Device products is higher compared to some of National

    Semiconductor ADC products, which make Analog Device Products costlier than National

    Semiconductor products for same resolution.

    Analog Device National

    Semiconductor

    AD7985BCPZ $30.99 ADC081S021CIMF $0.67

    Targeted Achieved

    Technology 45 nm 1P6M 45 nm

    Supply Voltage ~1v 1v

    Sampling Rate >50MSPS >50MSPS

    Resolution 8 bits 8 bits

    Integral Nonlinearity +/- 0.5 LSB Under progress

    Differential Nonlinearity +/- 0.5 LSB Under progress

    Power Consumption Future work Future work

    Signal to Noise Ratio Future work Future work

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    AD7980ARMZ $13.38 ADC12C105CISQ $24.00

    AD7980BRMZ $17.85 ADC12C105CISQE $24.00

    AD7626BCPZ $34.95 ADC12C105CISQ $24.00

    AD7626BCPZ-RL7 $34.95 ADC12C170CISQ $33.00

    Table 8. Pricing for Analog device products and National Semiconductor (Analog Device, I.,

    2009), and (Anonymous. (2009, Oct))

    However, for comparable resolution and speed both companies have more or less same prices.

    5. Applications of Data Converters

    TheapplicationsofDataConvertersarelistedbelow:

    Battery powered equipment Wireless Communication Data acquisition systems Medical instruments Test and measurement Industrial imaging (Analog Device I., 2009), and (Analog Device I., 1995-2009)

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    Figure 17. Data converters applications (Anonymous, 2009, June)

    6. Cost Analysis

    6.1 Human Resources

    Currently VNB Company has a single employee under the technical guidance from Prof. Morris

    Jones (San Jose State University) and Srenik Mehta (Director of Analog design at Atheros

    Comm.). VNB Company has already completed the preliminary phase of research. In the

    research phase, the company has done literature survey, market survey, and cost survey. The

    implementation part of this project has already completed successfully and the testing part is

    done partially. Currently, the performance testing part is in progress. The table 9 shows past and

    estimated growth from year 2009 to year 2013 of the VNB Company.

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    Department 2009 2010 2011 2012 2013

    Engineering 1 1 2 3 6

    Marketing 1 1 1 2 5

    Human

    Resources

    0 0 Consultant Consultant Consultant

    Table 9. Past and Estimated growth of VNB Company

    6.2 Product Cost

    From the literature survey, the SAR ADC design seems to be challenging, and from the market

    survey and cost analysis, it seems marketable and profitable. Currently at the starting point, the

    VNB Company has limited resources such as PC, communication tools, and University

    resources. As the company expands, it will have more resources such as office space,

    workstations, and marketing facilities. For design purpose, company will provide tools like

    Cadence, Mentor Graphics, Synopsis Powermill, and Smart Spice etc. The Company will bear

    the license cost of the mentioned tools. The table 10 and Graph 3 explain the past and estimated

    company product development cost. (Inc., M. , 2006-09), and (Inc., Y. 2009)

    Category 2009 2010 2011 2012 2013

    Employee Salary 80 90 300 550 740

    Marketing 10 10 30 40 600

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    Table 10. Past and Estimated VNB company product development cost (in thousand $)

    Graph 3. Graphical presentation of development cost of VNB Company

    6.3. Product Revenue

    From the cost survey and design cost, the price of VNB Companys product is estimated around

    $30.00. As the company will expand, there will be similar group of products. The breakeven

    point reaches in the year 2011 when the company will start making profit. (Inc., M. 2006-09),

    and (Inc., Y. 2009. The table 11 shows the past and estimation of product revenue.

    0

    500

    1000

    1500

    2000

    2500

    3000

    3500

    4000

    4500

    5000

    2009 2010 2011 2012 2013

    Dollorsinthousand

    Year

    DevlopmentCost

    Others

    Manufacturing

    Marketing

    Engineering

    Manufacturing 0 20 100 150 3000

    Other 0 10 40 50 100

    Total 90 140 470 790 3700

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    2009 2010 2011 2012 2013

    Nos. of Units 0 2500 18,000 32,000 1,206,000

    Revenue 0 75 540 960 4,020

    Cost 90 140 470 790 3,700

    Profit -90 -65 70 150 320

    Table 11. Past and Estimation of Product Revenue in thousand dollars

    6.4 Breakeven Analysis

    Breakeven analysis can be represented graphically or mathematically. Breakeven analysis relates

    fix cost and variable cost with number of units produced or number of operation hours.

    Breakeven point says when company starts making profit. Breakeven analysis is very important

    technique for firms economic evaluation. (Blanchard, B. S., & Fabrycky, W. J. (2006))

    It is estimated that VNB Company will sell 2500 units in year 2010 and then next coming years

    sale will increase.

    The fix cost which must be paid regardless of production. The selling price is estimated $30.00.

    Hence, the total revenue is calculated from number of sold units and selling price.

    Total revenue = #of units sold * selling price

    = 2500 * $30

    = $75000

    It is assumed that variable cost is around $9 per unit.

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    Hence, total variable cost = # of unit sold * variable cost/unit

    = 2500 * $9

    =$22,500 (for year 2010)

    Breakeven =FC / SP VC

    Where FC is fix cost, SP is selling price and VC is variable cost.

    Breakeven = $63000 / ($30 - $9)

    = 3000

    Similar way breakeven calculation can be done for following years. The graph 4 shows

    breakeven analysis for VNB Company. (S., Patel, K., & Byron, Spring 2009)

    Graph 4. Breakeven Analysis

    $0

    $500

    $1,000

    $1,500

    $2,000

    $2,500

    $3,000

    $3,500

    $4,000

    $4,500

    2009 2010 2011 2012 2013

    $inthousands

    Year

    BreakevenAnalysis

    Cost

    Revenvebreakeven

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    Initial Years VNB Companys profit is negative; however, after year 2011 VNB Company will

    first make profit. The total investment is $ 250,000. The return of investment is calculated below.

    Return on Investment = Net profit total investment / total investment x 100

    = ($385,000 -$250,000) / $ 250,000 x100

    = .54 x 100

    =54%

    The Graph 5 explains the Norden Rayleigh Estimation for each year before VNB Company

    makes its first net profit. VNB Company expects approximately $250,000 funding for initial

    years.

    Graph 5. Norden Rayleigh Estimation for funding

    20

    0

    20

    40

    60

    80

    100

    120

    140

    160180

    0 1 2 3 4 5 6 7

    Dollorsinthousands

    Year

    NordenRayleighEstimation

    Dollorsinthousands

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    6.5 Profit & Loss Analysis

    Profit and Loss analysis is estimated for year 2009 to 2011.The table 12 to 14 shows profit and

    loss with income and expense in tabular form.

    Quarter Income Expense Profit/Loss

    Qtr 3 '09 0 60 -60

    Qtr 4 '09 0 30 -30

    Table 12 Past and Estimated Profit and Loss for Qtr 3 09 to Qtr 4 09 ($ in thousands)

    The graph 6 shows VNB Company did not make any money in year 2009, however loss is

    reduce in following years.

    Graph 6 Past and Estimated Profit and Loss for Qtr 3 09 to Qtr 4 09

    80

    60

    40

    20

    0

    20

    40

    60

    80

    Qtr3'09 Qtr4'09$inthousa

    nds

    Quarter&Year

    P&LQtr3'09toQtr4'09

    Income

    Expense

    Profit/Loss

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    Quarter

    Qtr 1 '10

    Qtr 2 '10

    Qtr 3 '10

    Qtr 4 '10

    Table 13

    Graph 7

    As show

    Quarter

    Qtr 1 '11

    $in

    thousands

    I

    1

    3

    3

    Estimated

    Estimated P

    in table 1

    Inco

    60

    20

    10

    0

    10

    20

    30

    40

    50

    Qtr

    ncome E

    0 -2

    0 -2

    5 50

    0 50

    rofit and L

    rofit and Lo

    and graph

    e Ex

    75

    '10

    P&

    pense P

    -2

    -2

    -1

    -1

    ss for Qtr 1

    ss for Qtr 1

    , VNB Co

    ense Pr

    -15

    Qtr2'10

    Quarte

    L Qtr

    43

    ofit/Loss

    0

    0

    5

    0

    10 to Qtr

    10 to Qtr 4

    pany expe

    fit/Loss

    Qtr3'10

    r&Year

    1'10to

    10 ($ in th

    10

    ted first pro

    Income

    60

    Qtr

    Qtr4'

    ousands)

    fit in year 2

    4'10

    0

    11.

    Incom

    Expen

    Profit/

    e

    Loss

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    Qtr 2 '11

    Qtr 3 '11

    Qtr 4 '11

    Table 14

    Graph 8

    6.6 SW

    The SW

    briefly s

    1

    1

    2

    2

    $inthousands

    60

    190

    230

    Estimated

    Estimated P

    T Assessm

    T analysis

    mmarized.

    50

    0

    50

    00

    50

    00

    50

    Qtr1

    75

    160

    160

    rofit and L

    rofit and Lo

    ent

    performed

    '11 Qt

    P&L

    -15

    30

    70

    ss for Qtr 1

    ss for Qtr 3

    sing marke

    2'11

    Quarter&Y

    Qtr1'1

    44

    11 to Qtr

    11 to Qtr 2

    survey. In

    tr3'11

    ear

    1toQt

    60

    190

    230

    11 ($ in t

    12

    ollowing ta

    Qtr4'11

    4'11

    ousands)

    ble 15 SW

    Inc

    Ex

    Pr

    T assessme

    ome

    ense

    fit/Loss

    t is

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    Strengths Weaknesses

    1. Current SAR ADC has 8 bits resolution andspeed >50 MSPSs using 45nm technology.

    2. Capacitor array DAC is better compare toresistor string DAC. Matching of Capacitorcan be achieved better compare to resistormatching.

    1. VNB is small company, so it is difficult togrow in recession time.

    Opportunities Threats

    1. From market and cost analysis, VNB

    Companys product seems marketable and costeffective.

    2. In built sample and hold circuit, so there canbe significant saving in chip area.

    1. Analog Device and National have released

    similar kind of ADCs. They may come up withbetter design.

    Table 15. SWOT Assessment

    7. Relevance of core courses

    The break-even analysis, which was covered in ENGR 202, is useful for this project. Breakeven

    analysis is a technique used to find out or analyze when company will make profit. The subject

    matter of ENGR 202 is useful to find return of investment and mainly to understand overall

    project life cycle. The ENGR 203s contain is helpful for project planning and scheduling using

    techniques like Gnatt Chart and CPM (critical path method). The topics covered in ENGR 201

    are the Fourier series, time and frequency domain, and transfer function, which are useful to

    understand the ADC signal flow. ENGR 200W covered the formatting, how to write the report

    and how to present the power point.

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    8. Conclusion

    As discuss in the introduction, a SAR ADC is suitable for medium resolution with higher speed

    ranging from kSPSs to MSPSs. From the literature survey, and current market and cost survey,

    the future of SAR ADC using capacitor array DAC is marketable and cost-effective. As

    mentioned in the two analog product companies (Analog Devices and National Semiconductor)

    are making similar kind of ADC. Furthermore, the SAR ADC has many applications such as

    wireless communication, and medical Instruments.

    9. Future Work

    Future work is to increase the resolution up to 12, 16 and 18 bits with reasonable speed. Current

    SAR ADC is designed using split capacitor array DAC. For future design SS capacitor array

    (Series Split Capacitor array) can be used. VNB Company will make products using other

    architectures such flash ADC or pipeline ADC.

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    Bibliography

    [1] Analog Devices, I. (1995 - 2009 ). Retrieved from http://www.analog.com/en/analog-to-digital-converters/ad-converters/ad7985/products/product.html.

    [2] 16-Bit, 2.5 MSPS, PulSAR 15.5 mW ADC in LFCSP. (2009). Retrieved from

    www.analog.com.

    [3]Device, A. (1995-2009).AD7980: 16-Bit, 1 MSPS PulSAR ADC in MSOP/QFN. Retrieved

    from http://www.analog.com/en/analog-to-digital-converters/ad-

    converters/ad7980/products/product.html.

    [4]Kester, W. ( 2005, June). Which ADC Architecture Is Right for Your Application? Retrieved

    from http://www.analog.com/library/analogDialogue/archives/39-06/architecture.pdf.

    [5] Anonymous. (2009, June).Analog Products selection Guide. Retrieved from

    www.national.com.

    [6] Anonymous. (2009, Oct). Price & Availability. Retrieved from

    http://www.national.com/pf/master_DC.html.

    [7] S., Patel, K., & Byron. (Spring 2009).Multicore Microprocessor Interfacing (Propeller). San

    Jose State University.

    [8] Inc., M. (2006-09).How to calculate Cost of Goods. Retrieved fromhttp://www.marketingmo.com/how-to-articles/marketing-metrics/how-to-calculate-cost-of-

    goods/.

    [9] Inc., M. (2006-09).How to Calculate ROI Return on Investment. Retrieved from

    http://www.marketingmo.com/4-support-tools/how-to-calculate-roi-return-on-investment/.

    [10] Inc., Y. (2009). What is revenue? how do i calculate it? and how do businesses generate it?

    Retrieved from http://answers.yahoo.com/question/index?qid=20080513102735AAKMSuH.

    [11] Baker, J. R., Li, H. W., & Boyce, D. E. (1998). CMOS CIRCUIT DESIGN, LAYOUT, AND

    SIMULATION. New York: The Institute of Electrical and Eletronics Engineers, Inc

    [12] BP Ginsburg, A. C. (2007). 500-MS/s 5-bit ADC in 65-nm CMOS With Split Capacitor

    Array DAC.IEEE Journal of Solid State Circuits .

    [13] Incorporated, T. I. (2009, AUGUST ). 16-, 14-, 12-Bit, Six-Channel, Simultaneous

    Sampling. Retrieved from http://focus.ti.com/lit/ds/symlink/ads8558.pdf.

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    [14 ] Moscovici, A. (2001).High Speed A/D Converters. Kluwer Academic Publishers.

    [15] Maxim Integrated Product. (2009). Retrieved from http://para.maxim-

    ic.com/en/search.mvp?fam=fast_adc&hs=1.

    [16] GlobalSpec. (1999-2009 ). Specialty Data Acquisition and Convertor Chips. Retrieved fromhttp://semiconductors.globalspec.com/SpecSearch/Suppliers/Semiconductors/Analog_Mixed_Si

    gnals/Data_Acquisition_Chips/Specialty_Data_Acquisition_Converter_Chips.

    [17] Blanchard, B. S., & Fabrycky, W. J. (2006). Systems engineering and Analysis. New Jersey:

    Prentice Hall.

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    AppendixA

    CMOSSwitchRon

    ToestimatetheRonresistanceofCMOSswitchfollowingcircuitasshowninfigure3isused.TheDc

    operatingconditionissimulatedandresultsaretabulatedintable1.

    Figure1. CMOSSwitchRonSchematic

    Current1uA

    VinV NMOSRon PMOSRon CMOSRon

    0.00E+00 3.4150E+03 1.6910E+11 3.4150E+03

    1.00E01 3.6280E+03 4.9170E+09 3.6280E+03

    2.00E01 3.9870E+03 1.5030E+08 3.9869E+03

    3.00E01 4.7050E+03 5.3350E+06 4.7009E+03

    4.00E01 6.6680E+03 2.9910E+05 6.5226E+03

    5.00E01 1.5610E+04 4.1520E+04 1.1345E+04

    6.00E01 1.0230E+05 1.5260E+04 1.3279E+04

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    7.00E01 1.8580E+06 9.4920E+03 9.4438E+03

    8.00E01 5.1810E+07 7.3410E+03 7.3400E+03

    9.00E01 1.6300E+09 6.2470E+03 6.2470E+03

    1.00E+00 5.3440E+10 5.5860E+03 5.5860E+03

    Table1RonResistanceofCMOSswitch

    MOScharacteristics

    NMOS

    Characteristics

    Thefigure2isschematicforcircuitsimulation,andtheoutputcharacteristicsofNMOSsareplottedin

    figure3.Thedrainstosourcecurrentsarealmostconstantwhentransistorsareinsaturationregion(for

    currentslowerthan30uA).Forhighercurrents,thelengthmodulationeffectissignificant.

    Figure2.Circuitforsimulatingoutputcharacteristics

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    Figure3. OutputcharacteristicsofNMOStransistor

    PMOSCharacteristics

    Thefigure4isschematicforcircuitsimulation,andtheoutputcharacteristicsofPMOSsareplottedin

    figure5.

    Figure4. SchematictomeasureoutputcharacteristicsofPMOS

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    Figure5.OutputCharacteristicsofPMOStransistor

    Transconductanceparameter

    Kn(transconductanceparameterforNMOS)andKp(transconductanceparameterforPmos)are

    calculatedfromperformingcircuitsimulationasshowninfollowingfigure4.Thegraphical

    presentationisshowningraph1andgraph2.TheKnisapproximately148uA/V2andKpis

    approximately78uA/V2 for45CMOStechnology.

    Figure6. SchematictofindKnand KpforNMOSandPMOSrespectively

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    Graph1. Kn vsL(lengthinnm)fordifferentvalueof W(widthinnm)forNMOS

    Graph2KpvsL(lengthinnm)fordifferentvalueofW(widthinnm)forPMOS

    0

    50

    100

    150

    200

    250

    300

    45 90 135 180

    K

    n

    Lnm

    KnvsLKn(w=67.5nm)

    Kn(w=135nm)

    Kn(w=202.5nm)

    Kn(w=270nm)

    0

    20

    40

    60

    80

    100

    120

    45 90 135 180

    K

    p

    L nm

    KpvsLKp(W=67.5nm)

    Kp(w=135nm)

    Kp(w=202.5nm)

    Kp(w=270nm)

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    AppendixB

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