Nonhomogeneity Detection in CFAR Reference Windows Using the Mean-to-Mean Ratio Test

Abstract

A new method designated as the mean-to-mean ratio (MMR) test is proposed for the detection of nonhomogeneities in a radar's Constant False Alarm Rate (CFAR) reference window. No a priori knowledge of the nonhomogeneity topology is assumed. Analysis using the Monte-Carlo method based on Rayleigh clutter and Swerling I target models is presented. Target-like interferences which seriously degrade the detection performance of the cell-averaging CFAR detector can be detected with a higher probability by the MMR test.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2012
Accession Number
ADA554930

Entities

People

  • Tri-tan V. Cao

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Biomedical
  • Electronic Warfare

DTIC Thesaurus Topics

  • Algorithms
  • Australia
  • Computational Complexity
  • Detection
  • Detectors
  • Electrical Engineering
  • Electronic Warfare
  • False Alarms
  • Materials
  • Mathematical Logic
  • Monte Carlo Method
  • Probability
  • Radar
  • Target Detection
  • Topology
  • Warfare
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Radar Systems Engineering.