Title
Sea clutter reduction and target enhancement by neural networks in a marine radar system.
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.
Year
DOI
Venue
2009
10.3390/s90301913
SENSORS
Keywords
Field
DocType
Neural Networks,Non-linear Signal Processing,Radar,Remote Sensing,Clutter Reduction,Target Enhancement,SCR Improvement
Data mining,Marine radar,Electronic engineering,Artificial intelligence,Artificial neural network,Radar signal processing,Radar,Radar imaging,Pattern recognition,Clutter,Nonlinear signal processing,Constant false alarm rate,Engineering
Journal
Volume
Issue
ISSN
9
3
1424-8220
Citations 
PageRank 
References 
9
1.00
7
Authors
4
Name
Order
Citations
PageRank
raul vicenbueno1557.55
Rubén Carrasco-Álvarez291.00
Manuel Rosa-Zurera319236.27
Nieto-Borge, J.C.4213.42