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Sensors 2009, 9(3), 1913-1936; doi:10.3390/s90301913
Article

Sea Clutter Reduction and Target Enhancement by Neural Networks in a Marine Radar System

* ,
,
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Signal Theory and Communications Department, Superior Politechnic School, University of Alcal´a, Alcal´a de Henares, 28805, Madrid, Spain
* Author to whom correspondence should be addressed.
Received: 18 December 2008 / Revised: 16 February 2009 / Accepted: 11 March 2009 / Published: 16 March 2009
(This article belongs to the Special Issue Neural Networks and Sensors)
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Abstract

The presence of sea clutter in marine radar signals is sometimes not desired. So, efficient radar signal processing techniques are needed to reduce it. In this way, nonlinear signal processing techniques based on neural networks (NNs) are used in the proposed clutter reduction system. The developed experiments show promising results characterized by different subjective (visual analysis of the processed radar images) and objective (clutter reduction, target enhancement and signal-to-clutter ratio improvement) criteria. Moreover, a deep study of the NN structure is done, where the low computational cost and the high processing speed of the proposed NN structure are emphasized.
Keywords: Neural Networks; Non-linear Signal Processing; Radar; Remote Sensing; Clutter Reduction; Target Enhancement; SCR Improvement Neural Networks; Non-linear Signal Processing; Radar; Remote Sensing; Clutter Reduction; Target Enhancement; SCR Improvement
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Vicen-Bueno, R.; Carrasco-Álvarez, R.; Rosa-Zurera, M.; Nieto-Borge, J.C. Sea Clutter Reduction and Target Enhancement by Neural Networks in a Marine Radar System. Sensors 2009, 9, 1913-1936.

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