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Proceedings Paper

GLRT-entropy joint location of low-RCS target in heavy sea clutter
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Paper Abstract

Estimation accuracy of sea clutter plays an important role in target detection and location. In this paper, a generalized likelihood ratio test (GLRT)-entropy joint location approach for low radar cross section (RCS) target in heavy sea clutter is proposed, which takes use of both estimated probability and localized entropy of the range image. After performing detection of target based on GLRT, the proposed approach identifies the target range bin by comparing localized entropies, which are obtained before and after clutter suppression respectively. Simulation results demonstrate performance advantages of the proposed approach over the one where only probability or entropy is used.

Paper Details

Date Published: 8 November 2012
PDF: 11 pages
Proc. SPIE 8537, Image and Signal Processing for Remote Sensing XVIII, 853711 (8 November 2012); doi: 10.1117/12.974377
Show Author Affiliations
Jianing Wang, BeiHang Univ. (China)
Xiaojian Xu, BeiHang Univ. (China)


Published in SPIE Proceedings Vol. 8537:
Image and Signal Processing for Remote Sensing XVIII
Lorenzo Bruzzone, Editor(s)

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