A Sea Clutter Suppression Algorithm by Statistics Estimation and Subspace Analysis

DOI

10.2991/iiicec-15.2015.327How to use a DOI?

Keywords

subspace; sea clutter; Expectation Maximization algorithm

Abstract

To solve the problem of target detection in heavy sea clutter, we make simulation study on a subspace-based clutter suppression method to improve signal to clutter ratio in the predicted target location, and thus to improve the detection performance. With the compound Gaussian model of the sea clutter, we first estimate the statistics of sea clutter by Expectation-Maximization (EM) algorithm, then exploit a subspace-based approach to further mitigate sea clutter. With the algorithm, the computational complexity is effectively reduced. Nonetheless the algorithm exhibits good performance of clutter suppression. Numerical results show that the algorithm is effective in sea clutter suppression.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenhu Xue
AU  - Ling Mao
AU  - Tao Liu
PY  - 2015/03
DA  - 2015/03
TI  - A Sea Clutter Suppression Algorithm by Statistics Estimation and Subspace Analysis
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 1469
EP  - 1474
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.327
DO  - 10.2991/iiicec-15.2015.327
ID  - Xue2015/03
ER  -