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Proceedings Paper

Iterative autofocus algorithm for noncooperative ISAR at millimeter-wave frequencies
Author(s): Geoffrey H. Goldman; Herbert Dropkin
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Paper Abstract

High-quality automatic target recognition algorithms implemented with a real-beam radar require imagery with resolved target characteristics. This paper presents an iterative autofocus estimation algorithm that improves the quality of high-resolution 2D inverse synthetic aperture radar 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.

Paper Details

Date Published: 20 July 1999
PDF: 12 pages
Proc. SPIE 3704, Radar Sensor Technology IV, (20 July 1999); doi: 10.1117/12.354595
Show Author Affiliations
Geoffrey H. Goldman, Army Research Lab. (United States)
Herbert Dropkin, Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 3704:
Radar Sensor Technology IV
Robert Trebits; James L. Kurtz, Editor(s)

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