Accarino, C., Annese, V. F. , Cheah, B. C. , Al-Rawhani, M. A., Shah, Y. D. , Beeley, J., Giagkoulovits, C. , Mitra, S. and Cumming, D. R.S. (2020) Noise characteristics with CMOS sensor array scaling. Measurement, 152, 107325. (doi: 10.1016/j.measurement.2019.107325)
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204510.pdf - Published Version Available under License Creative Commons Attribution. 780kB |
Abstract
An important consideration when scaling semiconductor sensor devices is the effect it may have on noise performance. Overall signal to noise ratio can be improved both by increasing sensor size, or alternatively by averaging the signal from two or more smaller sensors. In the design of sensor systems it is not immediately clear which is the best strategy to pursue. In this paper, we present a detailed theoretical and experimental study based on three different sensor arrays that show that an array of small independent sensors is always less noisy than a large sensor of the same size.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Al-Rawhani, Dr Mohammed and Accarino, Claudio and Cumming, Professor David and Beeley, Dr James and Cheah, Dr Boon Chong and Shah, Dr Yash Diptesh and Mitra, Dr Srinjoy and Annese, Dr Valerio and Giagkoulovits, Dr Christos |
| Authors: | Accarino, C., Annese, V. F., Cheah, B. C., Al-Rawhani, M. A., Shah, Y. D., Beeley, J., Giagkoulovits, C., Mitra, S., and Cumming, D. R.S. |
| College/School: | College of Science and Engineering > School of Engineering College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering College of Science and Engineering > School of Physics and Astronomy |
| Journal Name: | Measurement |
| Publisher: | Elsevier |
| ISSN: | 0263-2241 |
| ISSN (Online): | 1873-412X |
| Published Online: | 27 November 2019 |
| Copyright Holders: | Copyright © 2019 The Authors |
| First Published: | First published in Measurement 152:107325 |
| Publisher Policy: | Reproduced under a Creative Commons License |
| Data DOI: | 10.5525/gla.researchdata.635 |
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