Statistical Analysis of the Nonhomogeneity Detector for Non-Gaussian Interference Backgrounds

Abstract

We derive the nonhomogeneity detector (NHD) for non-Gaussian interference scenarios and present a statistical analysis of the method. The non-Gaussian interference scenario is assumed to be modeled by a spherically invariant random process (SIRP). We present a method for selecting representative (homogeneous) training data based on our statistical analysis of the NHD for finite sample support used in covariance estimation. In particular, an exact theoretical expression for the NHD test statistic probability density function (PDF) is derived. Performance analysis of the NHD is presented using both simulated data and measured data from the multichannel airborne radar measurement (MCARM) program. A performance comparison with existing NHD approaches is also included.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA454079

Entities

People

  • Muralidhar (Murali) Rangaswamy

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Covariance
  • Data Science
  • Detection
  • Detectors
  • Estimators
  • Goodness Of Fit Tests
  • Information Science
  • Probability
  • Probability Density Functions
  • Radar
  • Random Variables
  • Signal Processing
  • Statistical Algorithms
  • Statistical Analysis
  • Statistics

Readers

  • Radar Systems Engineering.
  • Statistical inference.