215 research outputs found

    Design of Energy-Efficient A/D Converters with Partial Embedded Equalization for High-Speed Wireline Receiver Applications

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    As the data rates of wireline communication links increases, channel impairments such as skin effect, dielectric loss, fiber dispersion, reflections and cross-talk become more pronounced. This warrants more interest in analog-to-digital converter (ADC)-based serial link receivers, as they allow for more complex and flexible back-end digital signal processing (DSP) relative to binary or mixed-signal receivers. Utilizing this back-end DSP allows for complex digital equalization and more bandwidth-efficient modulation schemes, while also displaying reduced process/voltage/temperature (PVT) sensitivity. Furthermore, these architectures offer straightforward design translation and can directly leverage the area and power scaling offered by new CMOS technology nodes. However, the power consumption of the ADC front-end and subsequent digital signal processing is a major issue. Embedding partial equalization inside the front-end ADC can potentially result in lowering the complexity of back-end DSP and/or decreasing the ADC resolution requirement, which results in a more energy-effcient receiver. This dissertation presents efficient implementations for multi-GS/s time-interleaved ADCs with partial embedded equalization. First prototype details a 6b 1.6GS/s ADC with a novel embedded redundant-cycle 1-tap DFE structure in 90nm CMOS. The other two prototypes explain more complex 6b 10GS/s ADCs with efficiently embedded feed-forward equalization (FFE) and decision feedback equalization (DFE) in 65nm CMOS. Leveraging a time-interleaved successive approximation ADC architecture, new structures for embedded DFE and FFE are proposed with low power/area overhead. Measurement results over FR4 channels verify the effectiveness of proposed embedded equalization schemes. The comparison of fabricated prototypes against state-of-the-art general-purpose ADCs at similar speed/resolution range shows comparable performances, while the proposed architectures include embedded equalization as well

    Digital Background Self-Calibration Technique for Compensating Transition Offsets in Reference-less Flash ADCs

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    This Dissertation focusses on proving that background calibration using adaptive algorithms are low-cost, stable and effective methods for obtaining high accuracy in flash A/D converters. An integrated reference-less 3-bit flash ADC circuit has been successfully designed and taped out in UMC 180 nm CMOS technology in order to prove the efficiency of our proposed background calibration. References for ADC transitions have been virtually implemented built-in in the comparators dynamic-latch topology by a controlled mismatch added to each comparator input front-end. An external very simple DAC block (calibration bank) allows control the quantity of mismatch added in each comparator front-end and, therefore, compensate the offset of its effective transition with respect to the nominal value. In order to assist to the estimation of the offset of the prototype comparators, an auxiliary A/D converter with higher resolution and lower conversion speed than the flash ADC is used: a 6-bit capacitive-DAC SAR type. Special care in synchronization of analogue sampling instant in both ADCs has been taken into account. In this thesis, a criterion to identify the optimum parameters of the flash ADC design with adaptive background calibration has been set. With this criterion, the best choice for dynamic latch architecture, calibration bank resolution and flash ADC resolution are selected. The performance of the calibration algorithm have been tested, providing great programmability to the digital processor that implements the algorithm, allowing to choose the algorithm limits, accuracy and quantization errors in the arithmetic. Further, systematic controlled offset can be forced in the comparators of the flash ADC in order to have a more exhaustive test of calibration

    Analysis, modeling and design of Successive Approach Analog-Digital Converters (SARADCs) with Digital Redundancy

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    Universidad de Sevilla. Máster Universitario en Microelectrónica: Diseño y Aplicaciones de Sistemas Micro/Nanométrico

    축차 비교형 아날로그-디지털 변환기의 성능 향상을 위한 기법에 대한 연구

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    학위논문 (박사)-- 서울대학교 대학원 : 전기·컴퓨터공학부, 2016. 8. 김수환.This thesis is written about a performance enhancement technique for the successive-approximation-register analog-to-digital converter (SAR ADC). More specifically, it focuses on improving the resolution of the SAR ADC. The basic operation principles and the architecture of the conventional SAR ADC is examined. To gain insight on areas of improvement, a deeper look is taken at the building components of the SAR ADC. Design considerations of these components are discussed, along with the performance limiting factors in the resolution and bandwidth domains. Prior works which challenge these problems in order to improve the performance of the SAR ADC are presented. To design SAR ADCs, a high-level modeling is presented. This model includes various non-ideal effects that occur in the design and operation. Simulation examples are shown how the model is efficient and useful in the initial top-level designing of the SAR ADC. Then, the thesis proposes a technique that can enhance the resolution. The SAR ADC using integer-based capacitor digital-to-analog converter (CDAC) exploiting redundancy is presented. This technique improves the mismatch problem that arises with the widely used split-capacitor structure in the CDAC of the SAR ADC. Unlike prior works, there is no additional overhead of additional calibration circuits or reference voltages. A prototype SAR ADC which uses the integer-based CDAC exploiting redundancy is designed for automotive applications. Measurement results show a resolution level of 12 bits even without any form of calibration. Finally, the conclusion about the operation and effectiveness on the proposed technique is drawn.CHAPTER 1 INTRODUCTION 1 1.1 MOTIVATION 1 1.2 THESIS ORGANIZATION 5 CHAPTER 2 CONVENTIONAL SUCCESSIVE-APPROXIMATION-REGISTER ANALOG-TO-DIGITAL CONVERTERS 7 2.1 INTRODUCTION 7 2.2 OPERATION PRINCIPLE OF THE CONVENTIONAL SAR ADC 8 2.2.1. OVERVIEW OF THE OPERATION 8 2.2.2. SAMPLING PHASE 10 2.2.3. CONVERSION PHASE 11 2.3 STRUCTURE OF THE CONVENTIONAL SAR ADC 15 2.3.1. FULL STRUCTURE OF THE CONVENTIONAL SAR ADC 15 2.3.2. CAPACITOR DIGITAL-TO-ANALOG CONVERTER (CDAC) 17 2.3.3. COMPARATOR 21 2.3.4. CONTROL LOGIC 23 2.4 PERFORMANCE LIMITING FACTORS 24 2.4.1. RESOLUTION LIMITING FACTORS 24 2.4.2. OPERATION BANDWIDTH LIMITING FACTORS 28 2.5 PRIOR WORK 30 2.5.1. INTRODUCTION 30 2.5.2. SPLIT-CAPACITOR STRUCTURE OF THE CDAC 31 2.5.3. REDUNDANCY AND CDAC WEIGHT DISTRIBUTION 33 2.5.4. ASYNCHRONOUS CONTROL LOGIC 36 2.5.5. CALIBRATION TECHNIQUES 37 2.5.4. DOUBLE-SAMPLING TECHNIQUE FOR SAMPLING TIME REDUCTION 38 2.5.6. TWO-COMPARATOR ARCHITECTURE FOR COMPARATOR DECISION TIME REDUCTION 40 2.5.7. MAJORITY VOTING FOR RESOLUTION ENHANCEMENT 41 CHAPTER 3 MODELING OF THE SAR ADC 43 3.1 INTRODUCTION 43 3.2 WEIGHT DISTRIBUTION OF THE CAPACITOR DAC AND REDUNDANCY 44 3.3 SPLIT-CAPACITOR ARRAY TECHNIQUE 47 3.4 PARASITIC EFFECTS OF THE CAPACITOR DAC 48 3.5 MISMATCH MODEL OF THE CAPACITOR DAC 51 3.6 SETTLING ERROR OF THE DAC 53 3.7 COMPARATOR DECISION ERROR 58 3.8 DIGITAL ERROR CORRECTION 59 CHAPTER 4 SAR ADC WITH INTEGER-BASED SPLIT-CDAC EXPLOITING REDUNDANCY FOR AUTOMOTIVE APPLICATIONS 60 4.1 INTRODUCTION 60 4.2 MOTIVATION 61 4.3 PRIOR WORK ON RESOLVING THE SPLIT-CAPACITOR CDAC MISMATCH FOR THE SAR ADC 64 4.3.1. CONVENTIONAL SPLIT-CAPACITOR CDAC FOR THE SAR ADC 64 4.3.2. SPLITTING THE LAST STAGE OF THE LSB-SIDE OF THE CDAC 66 4.3.3. CALIBRATION OF THE NON-INTEGER MULTIPLE BRIDGE CAPACITOR 67 4.3.4. INTEGER-MULTIPLE BRIDGE CAPACITOR WITH LSB-SIDE CAPACITOR ARRAY CALIBRATION 68 4.3.5. OVERSIZED BRIDGE CAPACITOR WITH ADDITIONAL FRACTIONAL REFERENCE VOLTAGE 69 4.4 PROPOSED INTEGER-BASED CDAC EXPLOITING REDUNDANCY FOR THE SAR ADC 70 4.5 CIRCUIT DESIGN 72 4.5.1. PROPOSED INTEGER-BASED CDAC EXPLOITING REDUNDANCY FOR SAR ADC 72 4.5.2. COMPARATOR 74 4.5.3. CONTROL LOGIC 75 4.6 IMPLEMENTATION AND EXPERIMENTAL RESULTS 76 4.6.1. LAYOUT 76 4.6.2. MEASUREMENT RESULTS AND CONCLUSIONS 82 CHAPTER 5 CONCLUSION AND FUTURE WORK 86 5.1 CONCLUSION 86 5.2 FUTURE WORK 87 APPENDIX. SAR ADC USING THRESHOLD-CONFIGURING COMPARATOR FOR ULTRASOUND IMAGING SYSTEMS 89 BIBLIOGRAPHY 120Docto

    Built-in self-test and self-calibration for analog and mixed signal circuits

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    Analog-to-digital converters (ADC) are one of the most important components in modern electronic systems. In the mission-critical applications such as automotive, the reliability of the ADC is critical as the ADC impacts the system level performance. Due to the aging effect and environmental changes, the performance of the ADC may degrade and even fail to meet the accuracy requirement over time. Built-in self-test (BIST) and self-calibration are becoming the ultimate solution to achieve lifetime reliability. This dissertation introduces two ADC testing algorithms and two ADC built-in self-test circuit implementations to test the ADC integral nonlinearity (INL) and differential nonlinearity (DNL) on-chip. In the first testing algorithm, the ultrafast stimulus error removal and segmented model identification of linearity errors (USER-SMILE) is developed for ADC built-in self-test, which eliminates the need for precision stimulus and reduces the overall test time. In this algorithm, the ADC is tested twice with a nonlinear ramp, instead of using a linear ramp signal. Therefore, the stimulus can be easily generated on-chip in a low-cost way. For the two ramps, there is a constant voltage shift in between. As the input stimulus linearity is completely relaxed, there is no requirement on the waveform of the input stimulus as long as it covers the ADC input range. In the meantime, the high-resolution ADC linearity is modeled with segmented parameters, which reduces the number of samples required for achieving high-precision test, thus saving the test time. As a result, the USER-SMILE algorithm is able to use less than 1 sample/code nonlinear stimulus to test high resolution ADCs with less than 0.5 least significant bit (LSB) INL estimation error, achieving more than 10-time test time reduction. This algorithm is validated with both board-level implementation and on-chip silicon implementation. The second testing algorithm is proposed to test the INL/DNL for multi-bit-per-stages pipelined ADCs with reduced test time and better test coverage. Due to the redundancy characteristics of multi-bit-per-stages pipelined ADC, the conventional histogram test cannot estimate and calibrate the static linearity accurately. The proposed method models the pipelined ADC nonlinearity as segmented parameters with inter-stage gain errors using the raw codes instead of the final output codes. During the test phase, a pure sine wave is sent to the ADC as the input and the model parameters are estimated from the output data with the system identification method. The modeled errors are then removed from the digital output codes during the calibration phase. A high-speed 12-bit pipelined ADC is tested and calibrated with the proposed method. With only 4000 samples, the 12-bit ADC is accurately tested and calibrated to achieve less than 1 LSB INL. The ADC effective number of bits (ENOB) is improved from 9.7 bits to 10.84 bits and the spurious-free dynamic range (SFDR) is improved by more than 20dB after calibration. In the first circuit implementation, a low-cost on-chip built-in self-test solution is developed using an R2R digital-to-analog converter (DAC) structure as the signal generator and the voltage shift generator for ADC linearity test. The proposed DAC is a subradix-2 R2R DAC with a constant voltage shift generation capability. The subradix-2 architecture avoids positive voltage gaps caused by mismatches, which relaxes the DAC matching requirements and reduces the design area. The R2R DAC based BIST circuit is fabricated in TSMC 40nm technology with a small area of 0.02mm^2. Measurement results show that the BIST circuit is capable of testing a 15-bit ADC INL accurately with less than 0.5 LSB INL estimation error. In the second circuit implementation, a complete SAR ADC built-in self-test solution using the USER-SMILE is developed and implemented in a 28nm automotive microcontroller. A low-cost 12-bit resistive DAC with less than 12-bit linearity is used as the signal generator to test and calibrate a SAR ADC with a target linearity of 12 bits. The voltage shift generation is created inside the ADC with capacitor switching. The entire algorithm processing unit for USER-SMILE algorithm is also implemented on chip. The final testing results are saved in the memory for further digital calibration. Both the total harmonic distortion (THD) and the SFDR are improved by 20dB after calibration, achieving -84.5dB and 86.5dB respectively. More than 700 parts are tested to verify the robustness of the BIST solution
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