The research on several innovative comparators

Yuqi Tu; Ruizhe Zhang; Xiaorui Zhang

doi:10.1117/12.2640506

15 July 2022 The research on several innovative comparators

Yuqi Tu, Ruizhe Zhang, Xiaorui Zhang

Proceedings Volume 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022); 122582M (2022) https://doi.org/10.1117/12.2640506
Event: International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 2022, Qingdao, China

Abstract

This paper introduces six innovative designs of comparators proposed in recent years. The original intention to propose these improvements mainly focuses on the indexes including speed, area, power and offset, which measure the performance of comparators. Several newly proposed techniques are effective in designs. An improved DOC (dynamic-offsetcancellation) could increase speed and save area; Floating inverter pre-amplifier (FIA) can realize maximizing energy efficiency and reducing noise; Importing on-chip inductors in regenerative comparators has been verified reaching attractive goals successfully. Modifying structures and transistor type is also a feasible approach. After optimization, dynamic bias latch-type improves its predecessor’s performance in energy and noise; N-parallel paths could be applied to improve driving capability of latch; A novel voltage comparator termed an edge-race comparator (ERC) outperforms the conventional edition---the edge-pursuit comparator (EPC).

Citation Download Citation

Yuqi Tu, Ruizhe Zhang, and Xiaorui Zhang "The research on several innovative comparators", Proc. SPIE 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 122582M (15 July 2022); https://doi.org/10.1117/12.2640506

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