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A One-Point Trimmed 0.14-mK-Resolution Temperature Sensor Based on Improved Dynamic Element Matching Techniques
2022
会议录名称2022 7TH INTERNATIONAL CONFERENCE ON INTEGRATED CIRCUITS AND MICROSYSTEMS, ICICM 2022
页码521-524
发表状态已发表
DOI10.1109/ICICM56102.2022.10011329
摘要

This paper represents a systematic design of BJT-based temperature sensor with an ultra-high resolution. The system consists of BJT transistors as the sensing elements, a sigma-delta analog-To-digital converter (ADC) which achieves an SNDR of 134 dB and a sigma-delta digital-To-Analog converter (DAC) as the trimming module. Dynamic element matching (DEM) techniques are employed to increase the sensing accuracy in the existence of random process variations. Clocking schemes for DEM and trimming subsystems are discussed, which plays a vital role in the achieved dynamic range of the sensor system. The presented work shows that the behavioral model achieves a temperature sensing resolution of 0.14-mK and an inaccuracy of 0.015°. © 2022 IEEE.

会议录编者/会议主办者Southeast University ; University of Electronic Science and Technology of China ; Xi'an University of Posts and Telecommunications
关键词Delta sigma modulation Digital to analog conversion Modulators Random processes Stochastic systems Surveying Temperature sensors BJT transistors Dynamic element matching Matching techniques Sensing elements Sigma delta Sigma Delta modulator Sigma-delta analog-to-digital converters SNDR Systematic designs Ultrahigh resolution
会议名称7th International Conference on Integrated Circuits and Microsystems, ICICM 2022
会议地点Xi'an, China
会议日期October 28, 2022 - October 31, 2022
URL查看原文
收录类别EI
语种英语
出版者Institute of Electrical and Electronics Engineers Inc.
EI入藏号20230613547465
EI主题词Trimming
EI分类号405.3 Surveying ; 535.1.2 Rolling Mill Practice ; 713.3 Modulators, Demodulators, Limiters, Discriminators, Mixers ; 723.2 Data Processing and Image Processing ; 731.1 Control Systems ; 922.1 Probability Theory ; 944.5 Temperature Measuring Instruments ; 961 Systems Science
原始文献类型Conference article (CA)
来源库IEEE
文献类型会议论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/282052
专题信息科学与技术学院
信息科学与技术学院_硕士生
信息科学与技术学院_博士生
信息科学与技术学院_PI研究组_吕宏鸣组
作者单位
School of Information Science and Technology, Shanghaitech University, Shanghai, China
第一作者单位信息科学与技术学院
第一作者的第一单位信息科学与技术学院
推荐引用方式
GB/T 7714
Zhining Zhou,Hongming Lyu. A One-Point Trimmed 0.14-mK-Resolution Temperature Sensor Based on Improved Dynamic Element Matching Techniques[C]//Southeast University, University of Electronic Science and Technology of China, Xi'an University of Posts and Telecommunications:Institute of Electrical and Electronics Engineers Inc.,2022:521-524.
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