Evaluation of System Identification Algorithms for Aspect-Independent Radar Target Classification

Abstract

A radar target, acting as a scatterer of an incident electromagnetic wave, can be considered as a linear time-invariant system. Previous work has shown that the target's pole locations are independent of the incident electromagnetic excitation, including incident wave shape, aspect and polarization. This thesis develops the Kumaresan-Tufts and Cadzow-Solomon signal processing algorithms into computer routines and evaluates their pole extraction performance. Data used to evaluate the extraction algorithms includes synthetic and integral equation generated signals with additive noise, in addition to measurements of scattering by scale models made in an anechoic chamber.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1989
Accession Number
ADA225918

Entities

People

  • Peter D. Larison

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acoustic Absorption
  • Aircraft Models
  • Algorithms
  • Anechoic Chambers
  • Computer Programs
  • Computers
  • Electrical Engineering
  • Equations
  • Integral Equations
  • Magnetic Fields
  • Measurement
  • Models
  • Radar Targets
  • Scale Models
  • Scattering
  • Signal Processing
  • Target Classification

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radar Systems Engineering.