A Capacitor-Saver Redundant SAR ADC to Optimize Readout in Compute In-Memory Systems

Ahrar, Alireza, Makhlooghpoor, Aliasghar, Lu, Xuanhao, Xu, Jianxiong, Azghadi, Mostafa Rahimi, Kassiri, Hossein, and Amirsoleimani, Amirali (2025) A Capacitor-Saver Redundant SAR ADC to Optimize Readout in Compute In-Memory Systems. In: Proceedings of the IEEE International Symposium on Circuits and Systems. From: ISCAS 2025: IEEE International Symposium on Circuits and Systems, 25-28 May 2025, London, UK.

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Abstract

This paper presents an analysis of the application of an intentionally mismatched capacitive Digital-to-Analog Converter (CDAC) to improve the area efficiency and accuracy of successive-approximation register (SAR) analog-to-digital converters. The proposed SAR ADC architecture, the redundant capacitor-saver SAR ADC, utilizes 1-bit redundancy with intentional mismatch to estimate an additional resolution bit. This redundancy bit not only enhances noise tolerance but also achieves higher resolution through area- and energy-efficient computations, without requiring the addition of non-ideal, area-consuming, and energy-intensive capacitors to the CDAC block of the conventional SAR ADC. Simulations were conducted using Cadence TSMC 130nm CMOS technology and MATLAB software for conventional, redundant, and redundant capacitor-saver SAR ADCs, demonstrating 3 dB and 2 dB improvements in SNDR and SFDR, respectively, when using the capacitor-saver DAC architecture.

Item ID: 88540
Item Type: Conference Item (Research - E1)
ISBN: 9798350356830
ISSN: 0271-4310
Keywords: analog-to-digital converter (ADC), capacitive digital-to-analog converter (DAC), redundancy, successive-approximation register (SAR)
Date Deposited: 05 May 2026 00:27
FoR Codes: 46 INFORMATION AND COMPUTING SCIENCES > 4601 Applied computing > 460102 Applications in health @ 50%
40 ENGINEERING > 4009 Electronics, sensors and digital hardware > 400906 Electronic sensors @ 50%
SEO Codes: 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280115 Expanding knowledge in the information and computing sciences @ 100%
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