Illumination power requirements for an MCT APD vs. a COTS camera at 1.645 um

Joshua Follansbee, Kayla Frye, Nicholas Hui, Casey Clark, Ronald Driggers, Matthew Kalensky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Active imaging techniques can provide increased signal-to-noise ratio over passive imaging approaches, particularly in the reflective infrared bands (NIR, SWIR, and eSWIR) where passive solar illumination is reduced relative to the visible band. However, providing sufficient illuminator power at long range can introduce severe SWaP tradeoffs for system designers, as the strength of the illumination for a resolved laser spot scales proportionally to the inverse square of the illuminator-to-target distance. Active systems must therefore use illuminator photons efficiently. Avalanche photodiodes (APDs) offer high gain in the electronic domain, allowing the detection of a small number of photons by boosting the signal above the floor imposed by read noise. We compare the contrast-to-noise ratio performance of a mercury-cadmium-telluride (MCT) APD camera and a COTS InGaAs SWIR camera with an illuminator at 1.645 [um] as a function of illuminator power. Factors affecting performance are discussed.

Original languageEnglish (US)
Title of host publicationUnconventional Imaging, Sensing, and Adaptive Optics 2024
EditorsJean J. Dolne, Santasri R. Bose-Pillai, Matthew Kalensky
PublisherSPIE
ISBN (Electronic)9781510679580
DOIs
StatePublished - 2024
EventUnconventional Imaging, Sensing, and Adaptive Optics 2024 - San Diego, United States
Duration: Aug 19 2024Aug 23 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13149
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceUnconventional Imaging, Sensing, and Adaptive Optics 2024
Country/TerritoryUnited States
CitySan Diego
Period8/19/248/23/24

Keywords

  • active imaging
  • APD
  • infrared
  • MCT
  • SWIR
  • targeting

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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