Motion compensation of ISAR imagery via the burst derivative measure

Benjamin C. Flores; Jae Sok Son; Ana Martinez

doi:10.1117/12.216949

18 August 1995 Motion compensation of ISAR imagery via the burst derivative measure

Benjamin C. Flores, Jae Sok Son, Ana Martinez

Proceedings Volume 2562, Radar/Ladar Processing and Applications; (1995) https://doi.org/10.1117/12.216949
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

Benjamin C. Flores, Jae Sok Son, and Ana Martinez "Motion compensation of ISAR imagery via the burst derivative measure", Proc. SPIE 2562, Radar/Ladar Processing and Applications, (18 August 1995); https://doi.org/10.1117/12.216949

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