Temperature Sensor Circuit with Dynamic Element Matching in CMOS 65 nm for a mmWave Beamformer

Jang, Seunghyn; Kong, Sunwoo; Lee, Hui-Dong; Park, Bonghyun; Hyun, Seung

doi:10.1109/ictc52510.2021.9621051

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“…According to some latest research results, there are still remaining several problems in common DEM. For instance, the low-complexity DEM [1], which is based on random selection, can only randomly reduce the switching activity. This issue leads to uncertain results of reducing glitch.…”

Section: Introductionmentioning

confidence: 99%

A glitch energy reduction method with low complexity dynamic element matching for data converters

Liu

Zhang

et al. 2023

IEICE Electron. Express

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Due to the appearance of huge glitch while using traditional Dynamic Element Matching (DEM) in data converters, different kinds of glitch-reduce structures are designed into DEM. However, most of these structures will work with high complexity. Based on random-rotationbinary-weighted selection (RRBS), this paper presents a novel low complexity glitch-reduced DEM algorithm, which can greatly reduce mismatch. The proposed DEM constructs glitch-reduce structure through data selector and comparator, so the complexity is reduced through using less components. As a result, the glitch-reduced DEM increases spurious free dynamic range (SFDR) to 92.47dB at 7.6MHz. Moreover, compared with conventional RRBS, glitch-reduced DEM makes the glitch reduce by 49% with low complexity in a 12-bit digital-to-analog converter (DAC).

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Section: Introductionmentioning

confidence: 99%