Further Evaluations of STAP Tests in Compound-Gaussian Radar Clutter

Abstract

The performance of a parametric space-time adaptive processing (STAP) method is presented here. Specifically, we consider signal detection in additive disturbance containing compound-Gaussian clutter plus additive Gaussian thermal white noise. Performance is compared to the normalized adaptive matched filter and the Kelly GLRT receiver using simulated and measured data. We focus on the issues of detection and false alarm probabilities, constant false alarm rate (CFAR), robustness with respect to clutter texture power variations, and reduced training data support.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2001
Accession Number
ADA405437

Entities

People

  • Braham Himed
  • J. H. Michels
  • Muralidhar Rangaswamy

Organizations

  • Rome Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Covariance
  • Data Science
  • Detection
  • False Alarms
  • Filters
  • Fluoropolymers
  • Gaussian Processes
  • Information Science
  • Matched Filters
  • Probability
  • Probability Density Functions
  • Random Variables
  • Statistical Algorithms
  • Statistics
  • Warning Systems
  • White Noise

Fields of Study

  • Engineering

Readers

  • Radar Systems Engineering.

Technology Areas

  • Space
  • Space - Space Objects