Radar Scattering Center Localization by Subspace Fitting

Abstract

The application of radar data to the problem of noncooperative target recognition (NCTR) usually begins by estimating the position and strength of the significant scattering centers from the bright spot locations of a radar image (e.g., high range resolution (HRR) or inverse synthetic aperture radar (ISAR)). In practical situations, these images are usually contaminated by noise and can be of very low quality resolution-factors that confound the scattering center localization process and can preclude NCTR by radar means. We describe a simple method, based on subspace fitting techniques, that can be applied to the position and strength estimation problem in this environment. The scheme is robust against noise corruption and allows for super-resolved estimates of all (or some) of the scatterers. Examples based on synthetic data are presented.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2001
Accession Number
ADA395293

Entities

People

  • Brett Borden

Organizations

  • Naval Air Warfare Center Weapons Division

Tags

Communities of Interest

  • Air Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aerial Warfare
  • Algorithms
  • Classification
  • Computational Complexity
  • Detection
  • Environment
  • Frequency
  • Identification
  • Low Resolution
  • Military Research
  • Noise
  • Radar
  • Radar Images
  • Radar Imaging
  • Scattering
  • Synthetic Aperture Radar
  • Target Recognition

Readers

  • Computer Vision.
  • Radar Systems Engineering.