Modeling of IR sensor performance in cold weather

V. A. Hodgkin, Brian Kowalewski, Dave Tomkinson, Brian P. Teaney, Ted Corbin, Ronald Driggers

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

8 Scopus citations


Noise in an imaging infrared (IR) sensor is one of the major limitations on its performance. As such, noise estimation is one of the major components of imaging IR sensor performance models and modeling programs. When computing noise, current models assume that the target and background are either at or near a temperature of 300 K. This paper examines how the temperature of the scene impacts the noise in IR sensors and their performance. It exhibits a strategy that can be used to make a 300 K assumption-based model to compute the correct noise. It displays the results of some measurements of signatures of a cold target against a cold background. Range performance of a notional 3 rd Gen sensor (midwave IR and long wave IR) is then modeled as a function of scene background temperature.

Original languageEnglish (US)
Title of host publicationInfrared Imaging Systems
Subtitle of host publicationDesign, Analysis, Modeling, and Testing XVII
StatePublished - 2006
Externally publishedYes
EventInfrared Imaging Systems: Design, Analysis, Modeling, and Testing XVII - Kissimmee, FL, United States
Duration: Apr 19 2006Apr 20 2006

Publication series

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


ConferenceInfrared Imaging Systems: Design, Analysis, Modeling, and Testing XVII
Country/TerritoryUnited States
CityKissimmee, FL

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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