Natural Resonance Extraction and Annihilation Filtering Methods for Radar Target Identification

Abstract

This thesis represents an initial attempt to demonstrate aspect independent target identification of complex radar targets using annihilation filters based on the natural resonances of the targets. The Cadzow-Solomon signal processing algorithm is tested to determine its suitability for the task of extracting the poles from complex targets to a degree of accuracy required for successful implementation of an annihilation filtering target identification system. This testing was conducted through the use of noise polluted synthetic data as well as measured transient scattering data from thin-wire and silver coated scale model aircraft targets. The testing revealed that the Cadzow- Solomon algorithm can return pole clusters at false pole locations when processing the scattered returns from complex targets. Properties of annihilation filters which may affect their ability to discriminate complex targets are examined.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1990
Accession Number
ADA241038

Entities

People

  • Timothy J. Murphy

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Aircrafts
  • Algorithms
  • Electrical Engineering
  • Electromagnetic Scattering
  • Identification
  • Identification Systems
  • Integral Equations
  • Models
  • Radar
  • Radar Targets
  • Resonance
  • Scale Models
  • Scattering
  • Security
  • Signal Processing
  • Target Classification

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Speech Processing/Speech Recognition.