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A Low-Power Column-Parallel ΣΔ ADC With Shared OTAs and Single-Bit-BWI Decimation Filter for CMOS Image Sensor.

Authors :
Wang, Zhongjie
Ma, Qiyun
Yang, Tongbei
Lin, Zhi
Bermak, Amine
Tang, Fang
Source :
IEEE Transactions on Electron Devices. Jun2022, Vol. 69 Issue 6, p2979-2985. 7p.
Publication Year :
2022

Abstract

This article presents a low-power column-parallel $\Sigma \Delta $ analog-to-digital converter (ADC) with shared operational transconductance amplifiers (OTAs) for CMOS image sensors (CISs). Through the proposed time division multiplexing of OTAs, the power consumption of the modulator achieves a reduction of about 40%. The proposed structure alleviates the layout requirement of OTAs, enabling implementation of a high-resolution low-power image sensor in advanced CMOS technology nodes. As the coupled noise introduced by the proposed column-shared scheme is suppressed to a lower level than the inherent crosstalk of adjacent pixels, the proposed structure only contributes a negligible inter-column coupled noise from the ADCs. Moreover, a compact digital decimation filter with a single-bit-bit-wise-inversion (BWI) topology is also proposed, which can reduce chip area significantly. The prototype sensor is fabricated in a 40-nm standard CMOS technology with 256 $\times256$ pixel array and 256 proposed column-parallel $\Sigma \Delta $ ADCs. Each $\Sigma \Delta $ ADC occupies a core area of 4.5 $\mu \text{m}\,\,\times $ 310 $\mu \text{m}$ , while consuming a power of 58.8 $\mu \text{W}$. The measured differential nonlinearity (DNL) and integral nonlinearity (INL) are +0.49/−0.65 LSB and +5.1/−4.8 LSB, respectively. Measurement results show a dynamic range of 79.9 dB and an effective-number-of-bit (ENOB) of 11.4 bit. This work achieves a figure of merit (FOM) of 97.2 fJ/step. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189383
Volume :
69
Issue :
6
Database :
Academic Search Index
Journal :
IEEE Transactions on Electron Devices
Publication Type :
Academic Journal
Accession number :
157582782
Full Text :
https://doi.org/10.1109/TED.2022.3171742