Noise and Power efficient source follower per detector unit cell for readout integrated circuits of photodiode sensor arrays

Manik, V. Niranjan, R. Saxena
{"title":"Noise and Power efficient source follower per detector unit cell for readout integrated circuits of photodiode sensor arrays","authors":"Manik, V. Niranjan, R. Saxena","doi":"10.1109/ICATME50232.2021.9732758","DOIUrl":null,"url":null,"abstract":"In this work, an interface circuit for readout integrated circuit (ROIC) has been proposed employing source follower per detector (SFD) unit cell and current mirror integration (CMI) in order to have high performance with less circuit complexity. In terms of complexity, SFD unit cell is a good choice because it has three only transistors and less complexity. SFD is a simple interface topology for high density and low power ROICs. The SFD unit cell has disadvantage of instable detector bias voltage that makes it non-linear and increases the noise factor at the output side. The interfaced approach has been proposed here to combine the two basic unit cells. To reduce the noise factor at the output side here SFD is interfaced with the current mirror integration unit cell. It is shown here that the noise performance improves by about 98.93% with respect to the conventional SFD unit cell. The proposed circuit shows 18.18% degradation in power after simulation. Cadence 180 nm technologies have been used for the simulations/calculations.","PeriodicalId":414180,"journal":{"name":"2021 International Conference on Advances in Technology, Management & Education (ICATME)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Advances in Technology, Management & Education (ICATME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICATME50232.2021.9732758","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In this work, an interface circuit for readout integrated circuit (ROIC) has been proposed employing source follower per detector (SFD) unit cell and current mirror integration (CMI) in order to have high performance with less circuit complexity. In terms of complexity, SFD unit cell is a good choice because it has three only transistors and less complexity. SFD is a simple interface topology for high density and low power ROICs. The SFD unit cell has disadvantage of instable detector bias voltage that makes it non-linear and increases the noise factor at the output side. The interfaced approach has been proposed here to combine the two basic unit cells. To reduce the noise factor at the output side here SFD is interfaced with the current mirror integration unit cell. It is shown here that the noise performance improves by about 98.93% with respect to the conventional SFD unit cell. The proposed circuit shows 18.18% degradation in power after simulation. Cadence 180 nm technologies have been used for the simulations/calculations.
光电二极管传感器阵列读出集成电路中每个检测器单元格的噪声和功率效率源从动器
本文提出了一种用于读出集成电路(ROIC)的接口电路,采用源随动器每检测器(SFD)单元格和电流镜像集成(CMI),以获得高性能和较低的电路复杂度。就复杂性而言,SFD单元电池是一个很好的选择,因为它只有三个晶体管,复杂性更低。SFD是用于高密度和低功耗roic的简单接口拓扑。SFD单元格的缺点是检测器偏置电压不稳定,使其非线性,增加了输出端的噪声系数。本文提出了结合两个基本单元细胞的接口方法。为了降低输出端的噪声系数,SFD与电流镜像集成单元相连。结果表明,与传统的单晶单晶电池相比,噪声性能提高了约98.93%。仿真结果表明,该电路的功耗降低18.18%。模拟/计算采用了Cadence 180纳米技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信