Neyman-Pearson Optimal and Suboptimal Detection for Signals in General Clutter Mixture Distributions

Abstract

A general framework is introduced that enables the construction of the Neyman-Pearson optimal detector for a single general target model embedded within complex clutter whose amplitude distribution forms a mixture. This enables the determination of asymptotic decision rules for high resolution high grazing angle detection of targets in spiky sea clutter. In addition, suboptimal approximations are derived and analysed.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2011
Accession Number
ADA541301

Entities

People

  • Graham V. Weinberg

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • C4I
  • Electronic Warfare
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Australia
  • Detection
  • Detectors
  • Distribution Functions
  • Electronic Warfare
  • False Alarms
  • Grazing Angles
  • High Resolution
  • Information Processing
  • Numerical Analysis
  • Probability
  • Random Variables
  • Sea Clutter
  • Stochastic Processes
  • Target Detection
  • Warfare
  • Warning Systems

Readers

  • Radar Systems Engineering.
  • Statistical inference.