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

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; in revised form: 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

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MDPI and ACS Style

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.

AMA Style

Vicen-Bueno R, Carrasco-Álvarez R, Rosa-Zurera M, Nieto-Borge JC. Sea Clutter Reduction and Target Enhancement by Neural Networks in a Marine Radar System. Sensors. 2009; 9(3):1913-1936.

Chicago/Turabian Style

Vicen-Bueno, Raúl; Carrasco-Álvarez, Rubén; Rosa-Zurera, Manuel; Nieto-Borge, José Carlos. 2009. "Sea Clutter Reduction and Target Enhancement by Neural Networks in a Marine Radar System." Sensors 9, no. 3: 1913-1936.

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