Coherent Detection of Radar Targets in K-Distributed, Correlated Clutter

Abstract

A processor is obtained for detecting a radar target in correlated, nonhomogeneous Gaussian (K-distributed) clutter. When this processor and a matched filter are excited with nonhomogeneous Gaussian data, the performance of the new processor exceeds that of the matched filter. The new processor was obtained by approximating the Neyman-Pearson test for this problem.

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Document Details

Document Type
Technical Report
Publication Date
Aug 05, 1988
Accession Number
ADA198990

Entities

People

  • K. J. Sangston

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Bessel Functions
  • Detection
  • Detectors
  • Estimators
  • False Alarms
  • Gaussian Noise
  • Gaussian Processes
  • Military Research
  • Monte Carlo Method
  • Probability Density Functions
  • Radar
  • Radar Clutter
  • Radar Signals
  • Random Variables
  • Stochastic Processes
  • Target Detection
  • Warning Systems

Fields of Study

  • Engineering
  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Vision.
  • Statistical inference.