High-Frequency Autofocus Algorithm for Noncooperative ISAR

Report No. ARL-TR-1890
Authors: Goldman, Geoffrey H.; Dropkin, Herbert
Date/Pages: May 1999; 31 pages
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.
Distribution: Approved for public release
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Last Update / Reviewed: May 1, 1999