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Proceedings Paper

Identification of multiple-scattering events from 3D GTD-based parametric scattering models
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Paper Abstract

This paper describes the development of an algorithm for detecting multiple-scattering events in the 3D Geometric Theory of Diffraction (GTD)-based Jackson-Moses scattering model. This approach combines microlocal analysis techniques with geometric-invariant theory to estimate multiple-scattering events. After multiple-scattering returns were estimated, the algorithm employed the Generalized Radon Transform to determine the existence of multiple scattering within the measured data. The algorithm was tested on an X-band simulation of isotropic point scatterers undergoing unknown rotational motion.

Paper Details

Date Published: 3 May 2007
PDF: 12 pages
Proc. SPIE 6547, Radar Sensor Technology XI, 65470M (3 May 2007); doi: 10.1117/12.723156
Show Author Affiliations
Matthew Ferrara, Air Force Research Lab. (United States)
Margaret Cheney, Rensselaer Polytechnic Institute (United States)
Gregory Arnold, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 6547:
Radar Sensor Technology XI
James L. Kurtz; Robert J. Tan, Editor(s)

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