Multichannel Infrared Receiver Performance.

Abstract

The use of passive electro-optical sensors in military systems has received increased emphasis in recent years. In particular, passive infrared sensors could be used in an infrared airborne threat warning receiver. The performance of an optical receiver designed to detect a threat by taking advantage of the spectral signature of the threat is presented. The receiver is based upon a statistical model which represents the infrared field as a Gaussian random process whose moments depend upon the threat and background characteristics. The optimal Bayes/Neyman-Pearson receiver structure for an M spectral channel, N sequential look scanning receiver is presented and two practical suboptimal receiver structures are developed and compared with two ad-hoc linear processor structures. The results indicate that the approximate suboptimal receiver structures and the two ad-hoc linear receiver structures have identical performance. The results also show that receiver performance depends upon the difference between the square roots of the hypothesis dependent mean to variance ratios and the ratio of variances, and that receiver performance improves as the number of receiver channels and/or the number of looks increase. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1977
Accession Number
ADA052937

Entities

People

  • Stephen J. Dunning

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Algorithms
  • Detection
  • Detectors
  • Electrical Engineering
  • Information Theory
  • Infrared Detectors
  • Numerical Analysis
  • Optical Detection
  • Optical Detectors
  • Probability Density Functions
  • Random Variables
  • Signal Detection
  • Signal Processing
  • Stochastic Processes
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Electronics Engineering
  • Image Processing and Computer Vision.
  • Sensor Fusion and Tracking Systems.