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Proceedings Paper

Independent source extraction applied to radar imaging
Author(s): Jeffrey B. Hall; Suman Gunnala; Saibun Tjuatja
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Paper Abstract

Multiple scattering and random interactions among scattering elements and between the scatterers and the background adversely affect the radar image quality and target detection capability. In the radar image, multiple scattering and interactions appear as non-physical scattering centers. A method to improve the performance of radar imaging systems by extracting independent scattering centers is investigated in this study. Independent Component Analysis (ICA) is applied to returns of a radar system to extract independent scattering centers based on their non-Gaussianity. As an example, this method of target extraction is implemented in inverse synthetic aperture radar (ISAR) imaging of closely-spaced targets. Results of this study show that the application of this radar signal processing technique has allowed extraction of independent scattering centers which are needed in target detection and identification.

Paper Details

Date Published: 28 April 2009
PDF: 8 pages
Proc. SPIE 7337, Algorithms for Synthetic Aperture Radar Imagery XVI, 73370K (28 April 2009); doi: 10.1117/12.818625
Show Author Affiliations
Jeffrey B. Hall, The Univ. of Texas at Arlington (United States)
Lockheed Martin Corp. (United States)
Suman Gunnala, The Univ. of Texas at Arlington (United States)
Saibun Tjuatja, The Univ. of Texas at Arlington (United States)

Published in SPIE Proceedings Vol. 7337:
Algorithms for Synthetic Aperture Radar Imagery XVI
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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