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Proceedings Paper

Sequential hypothesis testing for dynamic SAR resource allocation
Author(s): Nikola S. Subotic; Brian J. Thelen; David L. Wiseman
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Paper Abstract

In this paper we describe a novel method of automatic target detection applied directly to the synthetic aperture radar (SAR) phase history. Our algorithm is based on a sequential likelihood ratio test (Wald test). The time dynamic behavior of the SAR phase history is modeled as a 2D autoregressive process. The sequential test attempts to dynamically ascertain the presence/absence of a target while the SAR phase history data is being collected. A target/no target decision can then be made during the collection aperture. System resources such as collection aperture and image formation processing can be dynamically reallocated depending on scene content. In contrast, image based detection methods wait until the entire aperture is collected, an image formed, then an algorithm is applied. We will show that significant savings in collection aperture can be obtained using this detection structure which may increase system search rates.

Paper Details

Date Published: 15 September 1998
PDF: 9 pages
Proc. SPIE 3370, Algorithms for Synthetic Aperture Radar Imagery V, (15 September 1998); doi: 10.1117/12.321838
Show Author Affiliations
Nikola S. Subotic, ERIM International, Inc. (United States)
Brian J. Thelen, ERIM International, Inc. (United States)
David L. Wiseman, ERIM International, Inc. (United States)

Published in SPIE Proceedings Vol. 3370:
Algorithms for Synthetic Aperture Radar Imagery V
Edmund G. Zelnio, Editor(s)

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