Power-Law Scattering Models and Nonlinear Parametric Estimation for Super-Resolution Radar

Abstract

This paper introduces a direct solution of the frequency-dependent, GTD-based, scatterer model parameters leading towards a new modem spectral estimation technique to be used for enhanced superresolution RADAR analysis. The overcomplete nature of the full GTD scatterer model basis (positive and negative half-integer power laws) is recognized and overcome by introducing the vector channel method, well known from communication theory. This physically motivated discrete-model based analysis eliminates the need for computationally intensive and potentially non-convergent local optimization procedures. Each scatterer is assigned a half-integer power law that identifies its cross section frequency dependence and hence restricts the possible underlying physical feature geometries. This analysis opens the possibility for vector-attribute based feature processing for target recognition that offers the potential for significant improvement in target identification performance.

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Document Details

Document Type
Technical Report
Publication Date
Apr 26, 2002
Accession Number
ADA427396

Entities

People

  • D. Cyganski
  • D. Holl Jr.
  • N. Hatch

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Aspect Angle
  • Bandwidth
  • C Band
  • Computations
  • Data Sets
  • Diffraction
  • Estimators
  • Frequency
  • Geometry
  • Identification
  • Operating Systems
  • Radar
  • Recognition
  • Scattering
  • Standards
  • Target Recognition

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Image Processing and Computer Vision.