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Proceedings Paper

Motion compensation of ISAR imagery via the burst derivative measure
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Paper Abstract

Inverse synthetic aperture radar (ISAR) is an imaging technique that can be utilized in the identification of targets such as ships and aircraft. Since these targets are free to maneuver during the time required to collect their signature, kinematic motion parameter estimates are needed to focus ISAR imagery. In order to perform this estimation, a burst derivative measure, which has global minimum coordinates that provide optimum estimates of the motion parameters, is utilized in conjuction with unconstrained optimization algorithms. It is shown that the burst derivative is a multivariate function with a strong dependence on radar parameters. Results indicate that this dependence can be exploited by the optimization algorithms to obtain efficient motion estimation, thus improving the overall processing speed.

Paper Details

Date Published: 18 August 1995
PDF: 12 pages
Proc. SPIE 2562, Radar/Ladar Processing and Applications, (18 August 1995); doi: 10.1117/12.216949
Show Author Affiliations
Benjamin C. Flores, Univ. of Texas/El Paso (United States)
Jae Sok Son, Univ. of Texas/El Paso (United States)
Ana Martinez, Univ. of Texas/El Paso (United States)


Published in SPIE Proceedings Vol. 2562:
Radar/Ladar Processing and Applications
William J. Miceli, Editor(s)

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