Reference Power Supply Connection Scheme for Low-Power CMOS Image Sensors Based on Incremental Sigma-Delta Converters

Author:

Carvalho Freitas Luis MiguelORCID,Morgado-Dias FernandoORCID

Abstract

Modern Complementary Metal-Oxide-Semiconductor (CMOS) image sensors, aimed to target low-noise and fast digital outputs, are fundamentally based on column-parallel structures, jointly designed with oversampling column converters. The typical choice for the employed column converters is the incremental sigma-delta structures, which intrinsically perform the correlated multiple sampling, creating an averaging effect over the system thermal noise when used in conjunction with 4T-pinned pixels. However, these types of column converters are known to be power-hungry, especially if the imaging device needs to target high frame rate levels as well. In this sense, the aim of this paper was to address the excess of power dissipation problem that arises from image sensors while employing oversampling high-order incremental converters, by means of using a different connection scheme to supply and to drive the required reference signals across the image sensor on-chip column converters. The proposed connection scheme revealed to be fully functional with no unwanted artifacts in the imager output response, allowing it to avoid 20% to 50% of the power dissipation, relative to the classical on-chip references generation and driving method. Furthermore, this solution allows for a much less complicated and less crowded printed circuit board (PCB) system.

Publisher

MDPI AG

Subject

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

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3