A Method for Discrimination of Radar Targets Using Complex Natural Resonances.

Abstract

A prediction-correlation target discrimination algorithm using target complex natural resonances is investigated. The targets natural resonances are extracted from experimentally measured frequency domain scattering data. Scattering data were obtained from scale model targets measured in the ElectroScience Laboratory compact radar range facility. The targets used are models of three military ground vehicles. Signal processing required for the extraction of poles is described. The principles of the prediction-correlation algorithm are discussed and the algorithm is demonstrated for both noiseless data and data with additive white noise. Classification results are plotted for the targets at aspect angles of 0, 10, 20, 30, 60, and 90 degrees from nose on.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1987
Accession Number
ADA191848

Entities

People

  • Eric P. Bohley

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Aspect Angle
  • Bandwidth
  • Curve Fitting
  • Diffraction
  • Fourier Transformation
  • Frequency
  • Frequency Bands
  • Frequency Domain
  • Ground Vehicles
  • Probability
  • Radar
  • Radar Targets
  • Rational Functions
  • Resonant Frequency
  • Scattering
  • Target Discrimination

Fields of Study

  • Physics

Readers

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