3중 샘플링 방식 델타-시그마 ADC를 이용한 디지털 Capacitive MEMS 마이크로폰

학위논문(박사) -- 서울대학교대학원 : 공과대학 전기·정보공학부, 2022. 8. 김수환.본 논문에서는 트리플 샘플링 적분기를 사용한 Capacitive 방식의 MEMS 마이크로폰이 제시되었다. 트리플 샘플링은 델타-시그마 방식의 아날로그-디지털 변환기의 첫 번째 적분기에 사용되었고 크게 두 가지의 동작으로 구분된다. 첫 번째로 적분기의 입력에서 반주기 지연 차동 입력을 빼서 신호 크기를 2배로 만들는 방식. 두 번째로 DAC의 피드백 커패시터를 샘플링 커패시터로 사용하여 입력 전압을 추가로 증가시키는 방식이다. 추가적으로 기존에서 샘플링 커패시터를 증가시켜 신호의 크기를 증폭시키는 방식과 결합하여 실수배의 이득을 얻을 수 있다. 또한 추가적인 커패시터, 타이밍, 전류 소모 없이 구조 변경만으로 이를 달성하였기 때문에 별다른 trade-off 없이 신호의 크기를 증폭시킬 수 있었다. 추가적으로 트리플 샘플링 방식의 적분기 신호 전달 함수 및 잡음 분석 또한 포함하였다. 우리의 readout 회로는 공급 전압이 1.8V인 0.18 m CMOS 공정으로 구현하였고 single-ended capacitive MEMS 트랜스듀서를 사용하여 측정하였다. 전류 소모량은 520 μA 이다. 마이크로폰은 A-weighted 신호 대 잡음 비는 62.1 dBA, 음향 과부하 지점은 115 dB SPL을 달성하였고 칩의 die size는 0.98〖"mm" 〗^2 이다.A triple-sampling ΔΣ ADC can replace the programmable-gain amplifier commonly used in the readout circuit for a digital capacitive MEMS microphone. The input voltage can then be multiplied by subtracting a further half-period delayed differential input and using the feedback capacitor of the DAC as a sampling capacitor. This triple-sampling technique results in a readout circuit with sensitivity and noise performance comparable to recent designs, but with a reduced power requirement. CMRR improvement is achieved by subtracting differential inputs and superior noise performance compare to conventional structure, as amplifier noise and DAC kT/C noise is not amplified by triple-sampling structure while the signal is increased by its gain. Triple-sampling also can be operated as a single-to-differential circuit. A MEMS microphone incorporating this readout circuit, fabricated in a 0.18μm CMOS process, achieved an A-weighted SNR of 62.1 dBA at 94 dB SPL with 520 μA current consumption, to which triple-sampling was shown to contribute 4.5 dBA.CHAPTER 1 INTRODUCTION 1 1.1 MOTIVATION 1 1.1.1 MEMS MICROPHONE TRENDS 1 1.1.2 TYPE OF MEMS MICROPHONES 4 1.1.3 PREVIOUS WORKS 7 1.2 MEMS MICROPHONE BASIC TERMS 9 1.3 THESIS ORGANIZATION 12 CHAPTER 2 SYSTEM OVERVIEW 13 2.1 SYSTEM ARCHITECTURE 13 CHAPTER 3 INTERFACE CIRCUITS AND POWER MANAGEMENT CIRCUITS 16 3.1 PSEUDO-DIFFERENTIAL SOURCE FOLLOWER 17 3.2 CHARGE PUMP 19 3.3 LOW DROPOUT REGULATOR 22 3.3.1 DESIGN CONSIDERATION OF LOW DROPOUT REGULATOR 22 3.3.2 IMPLEMENTATION OF LOW DROPOUT REGULATOR 26 CHAPTER 4 TRIPLE-SAMPLING DELTA-SIGMA ADC 31 4.1 BASIC OF DELTA-SIGMA ADC 31 4.2 IMPLEMENTATION OF TRIPLE-SAMPLING DELTA-SIGMA MODULATOR 37 4.2.1 CONVENTIONAL 1ST INTEGRATOR STRUCTURE 37 4.2.2 CROSS-SAMPLING 1ST INTEGRATOR 40 4.2.3 TRIPLE-SAMPLING 1ST INTEGRATOR 43 4.2.4 STF ANALYSIS OF TRIPLE-SAMPLING 1ST INTEGRATOR 47 4.2.5 THERMAL NOISE ANALYSIS OF TRIPLE-SAMPLING 1ST INTEGRATOR 51 4.2 CIRCUIT IMPLEMENTATION OF DELTA-SIGMA ADC 57 CHAPTER 5 MEASUREMENT RESULTS 64 5.1 MEASUREMENT ENVIRONMENT 64 5.2 MEASUREMENT RESULTS 67 5.3 PERFORMANCE SUMMARY 72 CHAPTER 6 CONCLUSION 74 BIBLIOGRAPHY 76 한글초록 79박

Interface Circuits for Microsensor Integrated Systems

ca. 200 words; this text will present the book in all promotional forms (e.g. flyers). Please describe the book in straightforward and consumer-friendly terms. [Recent advances in sensing technologies, especially those for Microsensor Integrated Systems, have led to several new commercial applications. Among these, low voltage and low power circuit architectures have gained growing attention, being suitable for portable long battery life devices. The aim is to improve the performances of actual interface circuits and systems, both in terms of voltage mode and current mode, in order to overcome the potential problems due to technology scaling and different technology integrations. Related problems, especially those concerning parasitics, lead to a severe interface design attention, especially concerning the analog front-end and novel and smart architecture must be explored and tested, both at simulation and prototype level. Moreover, the growing demand for autonomous systems gets even harder the interface design due to the need of energy-aware cost-effective circuit interfaces integrating, where possible, energy harvesting solutions. The objective of this Special Issue is to explore the potential solutions to overcome actual limitations in sensor interface circuits and systems, especially those for low voltage and low power Microsensor Integrated Systems. The present Special Issue aims to present and highlight the advances and the latest novel and emergent results on this topic, showing best practices, implementations and applications. The Guest Editors invite to submit original research contributions dealing with sensor interfacing related to this specific topic. Additionally, application oriented and review papers are encouraged.

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