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Improved Shape Parameter Estimation in K Clutter with Neural Networks and Deep Learning
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
The discrimination of the clutter interfering signal is
a current problem in modern radars’ design, especially in coastal
or offshore environments where the histogram of the background
signal often displays heavy tails. ...
Improved Shape Parameter Estimation in Pareto Distributed Clutter with Neural Networks
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016-12)
The main problem faced by naval radars is the elimination of the clutter input which is a distortion signal appearing mixed with target reflections. Recently, the Pareto distribution has been related to sea clutter ...