Passive Infrared Surveillance. Part 1: Model Formulation

Abstract

A new theoretical procedure is presented for calculating the performance of scanning background limited (BLIP) infrared sensors with adaptive threshold signal-processing logic. The performance predictions obtained with this model are background-conditional, i.e., are valid only for a given infrared background scene, presumably specified as a radiance map of arbitrary (but deterministic) structure. The nonstationary statistical nature of the photocurrent is explicitly taken into account. The basic approach involves a combination of some results from optical communications theory with a formalism for the threshold-crossing statistics of nonstationary noises. The present work is pursued further in a companion paper in which various simplifying approximations and illutrative numerical examples are presented. The theory developed in these two papers is directly applicable to design parameter trade- off studies for infrared search and track (IRST) devices.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1979
Accession Number
ADA075603

Entities

People

  • Richard A. Steinberg

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Detection
  • Detectors
  • Dwell Time
  • False Alarms
  • Focal Planes
  • Frequency
  • Gaussian Processes
  • Probability
  • Quantum Noise
  • Random Variables
  • Signal Processing
  • Stationary Processes
  • Stochastic Processes
  • Target Detection
  • Time Intervals
  • Two Dimensional
  • Warning Systems

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Image Processing and Computer Vision.
  • Sensor Fusion and Tracking Systems.