Optimum Threshold Detection for an Infrared Nutating Detection System

Abstract

A threshold detection system based on the Neyman-Pearson criterion is derived for an infrared nutating optical system. Detection is optimum for small signal-to-noise ratios and a Gaussian uncertainty in the pointing error of the optical system. The signal spectrum and background power spectral density for a rectangular space filter are computed numerically and used to specify the matched filter for the threshold detection system and evaluate its performance.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1973
Accession Number
AD0761380

Entities

People

  • William Earl Major Ii

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Bessel Functions
  • Computational Science
  • Computer Programs
  • Detection
  • Detectors
  • Equations
  • False Alarms
  • Fourier Series
  • Frequency
  • Gaussian Quadrature
  • Infrared Detection
  • Integral Equations
  • Optical Detection
  • Power Spectra
  • Probability
  • Spectra
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Approximation Theory.
  • Mathematical Modeling and Probability Theory.
  • Regression Analysis.

Technology Areas

  • Space
  • Space - Space Objects