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Proceedings Paper

Adaptive polarimetric tuning for improved radar target classification using MACH filters
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Paper 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.

Paper Details

Date Published: 19 May 2005
PDF: 12 pages
Proc. SPIE 5807, Automatic Target Recognition XV, (19 May 2005); doi: 10.1117/12.608832
Show Author Affiliations
Firooz Sadjadi, Lockheed Martin Corp. (United States)
Abhijit Mahalanobis, Lockheed Martin Corp. (United States)

Published in SPIE Proceedings Vol. 5807:
Automatic Target Recognition XV
Firooz A. Sadjadi, Editor(s)

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