A Data Weight Averaging-Inspired Digital Calibration Method for a 10-Bit Noise-Shaping Successive Approximation Register

Author:

Xie Shuang12ORCID,Wang Yong123ORCID

Affiliation:

1. School of Microelectronics, Shandong University, 1500 Shunhua Road, Jinan 250101, China

2. Quan Cheng Laboratory, Jinan 250103, China

3. Academy of Intelligent Innovation, Shandong University, Jinan 250101, China

Abstract

This paper presents a digital calibration method for a 10-bit noise-shaping Successive Approximation Register Analog to Digital Converter (SAR ADC). The proposed calibration method is inspired by its Data Weight Averaging (DWA) counterpart, but stays static, while achieving a similar Integral Nonlinearity (INL) and 1.3 dB better Signal-to-Noise Ratio (SNR) in measurements without oversampling. This advantage in SNR holds until an Oversampling Ratio (OSR) of 2 for the proposed method, which also saves 50 % power. At a 1.2 V power supply, the ADC consumes a power of 70 µW at a conversion rate of 50 kHz. Fabricated using 55 nm Complementary Metal Oxide Semiconductor (CMOS) Metal-Oxide-Metal Capacitor (MOMCAP) technology, it occupies an active area of 370 µm × 350 µm, when achieving an INL of 0.3 Least Significant Bit (LSB) and an SNR of 66.9 dB at an OSR of 8.

Funder

Natural Science Foundation of Shandong Province

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

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