{"title":"Signal-to-Noise Ratio in Pulsed Mode SiPMs for LiDAR Applications","authors":"Arianna Morciano, M. Perenzoni, S. D’Amico","doi":"10.1109/ICICDT51558.2021.9626464","DOIUrl":null,"url":null,"abstract":"In this paper, a first order model of a pulsed mode SiPM-based LiDAR receiver is proposed. Starting from the description of the LiDAR receiver components, an analysis of the output signal and a model for the variable noise is presented. Considering the effects that occur with the first order model of SiPM, a model for the SNR calculation at output of the SiPM is extracted, in particular in terms of the relationship between number of photons. A dependence of SNR on the number of cells that characterize the SiPM is highlighted. At the end, a matching between the values coming from the Matlab simulations and the analytical results is shown.","PeriodicalId":6737,"journal":{"name":"2021 International Conference on IC Design and Technology (ICICDT)","volume":"30 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on IC Design and Technology (ICICDT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICDT51558.2021.9626464","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 paper, a first order model of a pulsed mode SiPM-based LiDAR receiver is proposed. Starting from the description of the LiDAR receiver components, an analysis of the output signal and a model for the variable noise is presented. Considering the effects that occur with the first order model of SiPM, a model for the SNR calculation at output of the SiPM is extracted, in particular in terms of the relationship between number of photons. A dependence of SNR on the number of cells that characterize the SiPM is highlighted. At the end, a matching between the values coming from the Matlab simulations and the analytical results is shown.
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