Radar Target Detection in Non-Gaussian Correlated Clutter.

Abstract

A new processor for detecting a radar target in correlated, non-Gaussian clutter is obtained. When this processor and a matched filter are excited with this type of data, performance is improved over that of the matched filter alone. The processor is obtained by developing an approximate, multivariate, probability density for the clutter and constructing a Neyman-Pearson test. The processor is then obtained by using an approximation to the likelihood ratio obtained from the Neyman-Pearson test. Keywords include: Detection; radar signal processing; Radar.

Document Details

Document Type
Technical Report
Publication Date
Nov 21, 1986
Accession Number
ADA176595

Entities

People

  • Ben Cantrell

Organizations

  • United States Naval Research Laboratory

Tags

DTIC Thesaurus Topics

  • Detection
  • Filters
  • Matched Filters
  • Probability
  • Radar Signals
  • Radar Targets
  • Signal Processing
  • Target Detection
  • Targets

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radar Systems Engineering.