A stochastic approach for optimizing the required number of sub-pixels in Silicon Photomultipiler (SiPM) for optical radar applications (LiDAR)

Ayal Eshkoli, Yael Nemirovsky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

CMOS Silicon Photomultiplier (SiPM) composed of a mosaic array of SPADs (single photon avalanche diode in Geiger Mode) combined in parallel, is the building block of optical radars based on a LIDAR (light detection and ranging). An open essential design parameter is the required number of sub-pixels for adequate detection of a packet of n photons, taking into consideration that each sub-pixel, composed of a single SPAD, can detect only the first photon. This study evaluates this design parameter based on a stochastic approach, where the random number of incident photons as well as the detection probability of each SPAD is taken into consideration. An expression for Signal to Noise Ratio (SNR) is developed, yielding the optimal number of sub-pixels required for a practical implementation of a LIDAR.

Original languageEnglish
Title of host publication2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
ISBN (Electronic)9781538663783
DOIs
StatePublished - 2 Jul 2018
Event2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018 - Eilat, Israel
Duration: 12 Dec 201814 Dec 2018

Publication series

Name2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018

Conference

Conference2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
Country/TerritoryIsrael
CityEilat
Period12/12/1814/12/18

Keywords

  • 3D-imaging
  • aDAS
  • cIS
  • liDAR
  • sNR
  • sPAD
  • siPM

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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