Adaptive polarimetric tuning for improved radar target classification using MACH filters

Firooz Sadjadi; Abhijit Mahalanobis

doi:10.1117/12.608832

19 May 2005 Adaptive polarimetric tuning for improved radar target classification using MACH filters

Firooz Sadjadi, Abhijit Mahalanobis

Proceedings Volume 5807, Automatic Target Recognition XV; (2005) https://doi.org/10.1117/12.608832
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

In this paper we report on the development of a technique for adaptive selection of polarization ellipse tilt, and ellipticity angles such that the targets separation from clutter is maximized. From the radar scattering matrix [S] and its complex components, in-phase and quadrature phase, the elements of Mueller/Kennaugh matrix are obtained. Then by means of polarization synthesis, the radar cross section of the radar scatterers at different transmitting and receiving polarization states are obtained. By designing a maximum average correlation height filter, a target vs. clutter distance measure is derived as function of four transmit and receive polarization state angles. The results of applying this method on real synthetic aperture radar imagery indicate a set of four transmit and receive angles which lead to maximum target vs. clutter discrimination. These optimum angles are different for different targets. Hence by adaptive control of the state of polarization of polarimetric radar, one can noticeably improve discrimination of targets from clutter.

Citation Download Citation

Firooz Sadjadi and Abhijit Mahalanobis "Adaptive polarimetric tuning for improved radar target classification using MACH filters", Proc. SPIE 5807, Automatic Target Recognition XV, (19 May 2005); https://doi.org/10.1117/12.608832

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