Systematic Design Methodology for Successive – Approximation ADCs

Successive – Approximation ADCs are widely used in ultra – low – power applications. This paper describes a systematic design procedure for designing Successive – Approximation ADCs for biomedical sensor nodes. The proposed scheme is adopted in the design of a 12 bit 1 kS/s ADC. Implemented in 65 nm CMOS, the ADC consumes 354 nW at a sampling rate of 1 kS/s operating with 1.2 supply voltage. The achieved ENOB is 11.6, corresponding to a FoM of 114 fJ/conversion – step

A 2.2/2.7fJ/conversion-step 10/12b 40kS/s SAR ADC with data-driven noise reduction

Low-power sensor applications e.g. for environmental monitoring, bio-potential recording, and wireless autonomous sensor networks require highly power-efficient ADCs, typically with resolutions of at least 10b. SAR ADCs are generally beneficial in terms of power efficiency. However, the most power-efficient designs currently lack the required accuracy for these applications [1, 2], as they are limited to 9b ENOB. Other designs that have sufficient accuracy (10b) are limited to power efficiencies above 10fJ/conv-step [3]. The aim of this work is to increase the accuracy of highly efficient SAR ADCs beyond 10b, while further improving the efficiency to 2.2fJ/conv-step. To do so, this work introduces a Data-Driven Noise-Reduction method to efficiently suppress comparator noise, applies a segmented capacitive DAC with 250aF unit elements for better efficiency and accuracy, and implements a self-oscillating comparator to locally generate the internally required oversampled clock

Energy Efficient Pipeline ADCs Using Ring Amplifiers

Pipeline ADCs require accurate amplification. Traditionally, an operational transconductance amplifier (OTA) configured as a switched-capacitor (SC) amplifier performs such amplification. However, traditional OTAs limit the power efficiency of ADCs since they require high quiescent current for slewing and bandwidth. In addition, it is difficult to design low-voltage OTAs in modern, scaled CMOS. The ring amplifier is an energy efficient and high output swing alternative to an OTA for SC circuits which is basically a three-stage inverter amplifier stabilized in a feedback configuration. However, the conventional ring amplifier requires external biases, which makes the ring amplifier less practical when we consider process, supply voltage, and temperature (PVT) variation. In this dissertation, three types of innovative ring amplifiers are presented and verified with state-of-the-art energy efficient pipeline ADCs. These new ring amplifiers overcome the limitations of the conventional ring amplifier and further improve energy efficiency. The first topic of this dissertation is a self-biased ring amplifier that makes the ring amplifier more practical and power efficient, while maintaining the benefits of efficient slew-based charging and an almost rail-to-rail output swing. In addition, the ring amplifiers are also used as comparators in the 1.5b sub-ADCs by utilizing the unique characteristics of the ring amplifier. This removes the need for dedicated comparators in sub-ADCs, thus further reducing the power consumption of the ADC. The prototype 10.5b 100 MS/s comparator-less pipeline ADC with the self-biased ring amplifiers has measured SNDR, SNR and SFDR of 56.6 dB (9.11b), 57.5 dB and 64.7 dB, respectively, and consumes 2.46 mW, which results in Walden Figure-of-Merit (FoM) of 46.1 fJ/ conversion∙step. The second topic is a fully-differential ring amplifier, which solves the problems of single-ended ring amplifiers while maintaining the benefits of the single-ended ring amplifiers. This differential ring-amplifier is applied in a 13b 50 MS/s SAR-assisted pipeline ADC. Furthermore, an improved capacitive DAC switching method for the first stage SAR reduces the DAC linearity errors and switching energy. The prototype ADC achieves measured SNDR, SNR and SFDR of 70.9 dB (11.5b), 71.3 dB and 84.6 dB, respectively, and consumes 1 mW. This measured performance is equivalent to Walden and Schreier FoMs of 6.9 fJ/conversion∙step and 174.9 dB, respectively. Finally, a four-stage fully-differential ring amplifier improves the small-signal gain to over 90 dB without compromising speed. In addition, a new auto-zero noise filtering method reduces noise without consuming additional power. This is more area efficient than the conventional auto-zero noise folding reduction technique. A systematic mismatch free SAR CDAC layout method is also presented. The prototype 15b 100 MS/s calibration-free SAR-assisted pipeline ADC using the four-stage ring amplifier achieves 73.2 dB SNDR (11.9b) and 90.4 dB SFDR with a 1.1 V supply. It consumes 2.3 mW resulting in Schreier FoM of 176.6 dB.PHDElectrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/138759/1/yonglim_1.pd

Low-Power Energy Efficient Circuit Techniques for Small IoT Systems

Although the improvement in circuit speed has been limited in recent years, there has been increased focus on the internet of things (IoT) as technology scaling has decreased circuit size, power usage and cost. This trend has led to the development of many small sensor systems with affordable costs and diverse functions, offering people convenient connection with and control over their surroundings. This dissertation discusses the major challenges and their solutions in realizing small IoT systems, focusing on non-digital blocks, such as power converters and analog sensing blocks, which have difficulty in following the traditional scaling trends of digital circuits. To accommodate the limited energy storage and harvesting capacity of small IoT systems, this dissertation presents an energy harvester and voltage regulators with low quiescent power and good efficiency in ultra-low power ranges. Switched-capacitor-based converters with wide-range energy-efficient voltage-controlled oscillators assisted by power-efficient self-oscillating voltage doublers and new cascaded converter topologies for more conversion ratio configurability achieve efficient power conversion down to several nanowatts. To further improve the power efficiency of these systems, analog circuits essential to most wireless IoT systems are also discussed and improved. A capacitance-to-digital sensor interface and a clocked comparator design are improved by their digital-like implementation and operation in phase and frequency domain. Thanks to the removal of large passive elements and complex analog blocks, both designs achieve excellent area reduction while maintaining state-of-art energy efficiencies. Finally, a technique for removing dynamic voltage and temperature variations is presented as smaller circuits in advanced technologies are more vulnerable to these variations. A 2-D simultaneous feedback control using an on-chip oven control locks the supply voltage and temperature of a small on-chip domain and protects circuits in this locked domain from external voltage and temperature changes, demonstrating 0.0066 V/V and 0.013 °C/°C sensitivities to external changes. Simple digital implementation of the sensors and most parts of the control loops allows robust operation within wide voltage and temperature ranges.PHDElectrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/138743/1/wanyeong_1.pd

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

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

Data Conversion Within Energy Constrained Environments

Within scientific research, engineering, and consumer electronics, there is a multitude of new discrete sensor-interfaced devices. Maintaining high accuracy in signal quantization while staying within the strict power-budget of these devices is a very challenging problem. Traditional paths to solving this problem include researching more energy-efficient digital topologies as well as digital scaling.;This work offers an alternative path to lower-energy expenditure in the quantization stage --- content-dependent sampling of a signal. Instead of sampling at a constant rate, this work explores techniques which allow sampling based upon features of the signal itself through the use of application-dependent analog processing. This work presents an asynchronous sampling paradigm, based off the use of floating-gate-enabled analog circuitry. The basis of this work is developed through the mathematical models necessary for asynchronous sampling, as well the SPICE-compatible models necessary for simulating floating-gate enabled analog circuitry. These base techniques and circuitry are then extended to systems and applications utilizing novel analog-to-digital converter topologies capable of leveraging the non-constant sampling rates for significant sample and power savings

Analog and Mixed Signal Design towards a Miniaturized Sleep Apnea Monitoring Device

Sleep apnea is a sleep-induced breathing disorder with symptoms of momentary and often repetitive cessations in breathing rhythm or sustained reductions in breathing amplitude. The phenomenon is known to occur with varying degrees of severity in literally millions of people around the world and cause a range of chronicle health issues. In spite of its high prevalence and serious consequences, nearly 80% of people with sleep apnea condition remain undiagnosed. The current standard diagnosis technique, termed polysomnography or PSG, requires the patient to schedule and undergo a complex full-night sleep study in a specially-equipped sleep lab. Due to both high cost and substantial inconvenience, millions of apnea patients are still undiagnosed and thus untreated. This research work aims at a simple, reliable, and miniaturized solution for in-home sleep apnea diagnosis purposes. The proposed solution bears high-level integration and minimal interference with sleeping patients, allowing them to monitor their apnea conditions at the comfort of their homes. Based on a MEMS sensor and an effective apnea detection algorithm, a low-cost single-channel apnea screening solution is proposed. A custom designed IC chip implements the apnea detection algorithm using time-domain signal processing techniques. The chip performs autonomous apnea detection and scoring based on the patient’s airflow signals detected by the MEMS sensor. Variable sensitivity is enabled to accommodate different breathing signal amplitudes. The IC chip was fabricated in standard 0.5-μm CMOS technology. A prototype device was designed and assembled including a MEMS sensor, the apnea detection IC chip, a PSoC platform, and wireless transceiver for data transmission. The prototype device demonstrates a valuable screening solution with great potential to reach the broader public with undiagnosed apnea conditions. In a battery-operated miniaturized medical device, an energy-efficient analog-to-digital converter is an integral part linking the analog world of biomedical signals and the digital domain with powerful signal processing capabilities. This dissertation includes the detailed design of a successive approximation register (SAR) ADC for ultra-low power applications. The ADC adopts an asynchronous 2b/step scheme that halves both conversion time and DAC/digital circuit’s switching activities to reduce static and dynamic energy consumption. A low-power sleep mode is engaged at the end of all conversion steps during each clock period. The technical contributions of this ADC design include an innovative 2b/step reference scheme based on a hybrid R-2R/C-3C DAC, an interpolation-assisted time-domain 2b comparison scheme, and a TDC with dual-edge-comparison mechanism. The prototype ADC was fabricated in 0.18μm CMOS process with an active area of 0.103 mm^(2), and achieves an ENoB of 9.2 bits and an FoM of 6.7 fJ/conversion-step at 100-kS/s

Ultra-low-power circuits and systems for wearable and implantable medical devices

Thesis (Ph. D.)--Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.Cataloged from PDF version of thesis.Includes bibliographical references (pages 219-231).Advances in circuits, sensors, and energy storage elements have opened up many new possibilities in the health industry. In the area of wearable devices, the miniaturization of electronics has spurred the rapid development of wearable vital signs, activity, and fitness monitors. Maximizing the time between battery recharge places stringent requirements on power consumption by the device. For implantable devices, the situation is exacerbated by the fact that energy storage capacity is limited by volume constraints, and frequent battery replacement via surgery is undesirable. In this case, the design of energy-efficient circuits and systems becomes even more crucial. This thesis explores the design of energy-efficient circuits and systems for two medical applications. The first half of the thesis focuses on the design and implementation of an ultra-low-power, mixed-signal front-end for a wearable ECG monitor in a 0.18pm CMOS process. A mixed-signal architecture together with analog circuit optimizations enable ultra-low-voltage operation at 0.6V which provides power savings through voltage scaling, and ensures compatibility with state-of-the-art DSPs. The fully-integrated front-end consumes just 2.9[mu]W, which is two orders of magnitude lower than commercially available parts. The second half of this thesis focuses on ultra-low-power system design and energy-efficient neural stimulation for a proof-of-concept fully-implantable cochlear implant. First, implantable acoustic sensing is demonstrated by sensing the motion of a human cadaveric middle ear with a piezoelectric sensor. Second, alternate energy-efficient electrical stimulation waveforms are investigated to reduce neural stimulation power when compared to the conventional rectangular waveform. The energy-optimal waveform is analyzed using a computational nerve fiber model, and validated with in-vivo ECAP recordings in the auditory nerve of two cats and with psychophysical tests in two human cochlear implant users. Preliminary human subject testing shows that charge and energy savings of 20-30% and 15-35% respectively are possible with alternative waveforms. A system-on-chip comprising the sensor interface, reconfigurable sound processor, and arbitrary-waveform neural stimulator is implemented in a 0.18[mu]m high-voltage CMOS process to demonstrate the feasibility of this system. The sensor interface and sound processor consume just 12[mu]W of power, representing just 2% of the overall system power which is dominated by stimulation. As a result, the energy savings from using alternative stimulation waveforms transfer directly to the system.by Marcus Yip.Ph.D