8 November 2012 GLRT-entropy joint location of low-RCS target in heavy sea clutter
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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.
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Jianing Wang, Jianing Wang, Xiaojian Xu, Xiaojian Xu, } "GLRT-entropy joint location of low-RCS target in heavy sea clutter", Proc. SPIE 8537, Image and Signal Processing for Remote Sensing XVIII, 853711 (8 November 2012); doi: 10.1117/12.974377; https://doi.org/10.1117/12.974377
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