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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
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.
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.
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.