Sea Clutter Reduction and Target Enhancement by Neural Networks in a Marine Radar SystemReport as inadecuate




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Signal Theory and Communications Department, Superior Politechnic School, University of Alcala, Alcala de Henares, 28805, Madrid, Spain





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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. View Full-Text

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





Author: Raúl Vicen-Bueno * , Rubén Carrasco-Álvarez, Manuel Rosa-Zurera and José Carlos Nieto-Borge

Source: http://mdpi.com/



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