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

Matthew Ferrara; Margaret Cheney; Gregory Arnold

doi:10.1117/12.723156

3 May 2007 Identification of multiple-scattering events from 3D GTD-based parametric scattering models

Matthew Ferrara, Margaret Cheney, Gregory Arnold

Proceedings Volume 6547, Radar Sensor Technology XI; 65470M (2007) https://doi.org/10.1117/12.723156
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

Citation Download Citation

Matthew Ferrara, Margaret Cheney, and Gregory Arnold "Identification of multiple-scattering events from 3D GTD-based parametric scattering models", Proc. SPIE 6547, Radar Sensor Technology XI, 65470M (3 May 2007); https://doi.org/10.1117/12.723156

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