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

Sensors

Raúl Vicen-Bueno¹  Rubén Carrasco-Álvarez²  Manuel Rosa-Zurera² 

[1] id="af1-sensors-09-01913">Signal Theory and Communications Department, Superior Politechnic School, University of Alcalá, Alcalá de Henares, 28805, Madrid, Spa

关键词: Neural Networks;    Non-linear Signal Processing;    Radar;    Remote Sensing;    Clutter Reduction;    Target Enhancement;    SCR Improvement;   

DOI  :  10.3390/s90301913

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2009 by the authors; licensee MDPI, Basel, Switzerland