Parametric Signature Modeling for Target Identification.

Abstract

This report describes recent advances in the analysis of radar target signatures for the purpose of target identification. These developments include a statistical analysis of TLS-Prony algorithms, the development and statistical analysis of computationally efficient versions of the algorithm based on data decimation, quantitative performance analysis of radar scattering center detection and resolution, and the application of these methods on measured S-band radar data. It is shown that these parametric modeling techniques have two to four times the range resolution of Fourier-based techniques when applied to measured scattering data. The technique directly estimates the location of scattering centers and parameters that characterize each scattering center for target identification. (KAR) P. 3

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1995
Accession Number
ADA296734

Entities

People

  • Randolph L. Moses

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Data Science
  • Detection
  • Electrical Engineering
  • Engineering
  • Floating Point Operations
  • Identification
  • Information Science
  • Monte Carlo Method
  • Radar Targets
  • Scattering
  • Signal Processing
  • Statistical Algorithms
  • Statistical Analysis
  • Statistics
  • Target Signatures

Readers

  • Computational Modeling and Simulation
  • Radar Systems Engineering.