High-Frequency Autofocus Algorithm for Noncooperative ISAR

Abstract

High-quality automatic target recognition algorithms implemented using a real-beam radar require imagery with resolved target characteristics. This report presents an iterative motion parameter estimation algorithm that improves the quality of high-resolution two-dimensional inverse synthetic aperture radar (ISAR) images. The algorithm uses the derivative of the phase history of isolated point scatterers to estimate the initial conditions for the target motion parameters of a maneuvering vehicle. The algorithm was tested using simulated data. We report on the agreement between the actual and estimated values of range and entropy.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1999
Accession Number
ADA364068

Entities

People

  • Geoffrey H. Goldman
  • Herbert Dropkin

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Agreements
  • Algorithms
  • Angular Acceleration
  • Coordinate Systems
  • Detectors
  • Frequency
  • Gaussian Noise
  • Geometry
  • High Resolution
  • Military Research
  • Radar
  • Side Looking Radar
  • Simulations
  • Statistics
  • Synthetic Aperture Radar
  • Target Recognition
  • Two Dimensional

Readers

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