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

Jianing Wang; Xiaojian Xu

doi:10.1117/12.974377

8 November 2012 GLRT-entropy joint location of low-RCS target in heavy sea clutter

Jianing Wang, Xiaojian Xu

Proceedings Volume 8537, Image and Signal Processing for Remote Sensing XVIII; 853711 (2012) https://doi.org/10.1117/12.974377
Event: SPIE Remote Sensing, 2012, Edinburgh, United Kingdom

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.

Citation Download Citation

Jianing Wang and 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); https://doi.org/10.1117/12.974377

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