Sea clutter reduction and target enhancement by neural networks in a marine radar system.

Sensors
Raúl Vicen-BuenoJosé Carlos Nieto-Borge

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.

References

Nov 4, 2006·IEEE Transactions on Visualization and Computer Graphics·Geoffrey Ellis, Alan Dix
Oct 31, 2007·IEEE Transactions on Visualization and Computer Graphics·Geoffrey Ellis, Alan Dix
Feb 6, 2008·IEEE Transactions on Neural Networks·H LeungA Drosopoulos
Feb 7, 2008·IEEE Transactions on Neural Networks·J Nie, S Haykin

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Software Mentioned

WaMoS
OceanWaveS

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