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Improved Shape Parameter Estimation in Pareto Distributed Clutter with Neural Networks
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 ...
ESTIMATION OF THE RELATION BETWEEN WEIBULL SEA CLUTTER AND THE CA-CFAR SCALE FACTOR
(Universidad de Costa Rica, 2015)
Implementation of an Algorithm for the Estimation of the Sea Clutter Distribution and Parameters
(Universidad de Costa Rica, 2017)
Improved Shape Parameter Estimation in K Clutter with Neural Networks and Deep Learning
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. ...
CA-CFAR Adjustment Factor Correction with a priori Knowledge of the Clutter Distribution Shape Parameter
Oceanic and coastal radars operation is affected because the targets information is received mixed with and undesired contribution called sea clutter. Specifically, the popular CA-CFAR processor is incapable of maintaining ...
Radar detection algorithm for GARCH clutter model
(Elsevier Inc, 2013-07)
We propose a GARCH model to represent the clutter in radar applications. We fit this model to real sea clutter data and we show that it represents adequately the statistics of the data. Then, we develop a detection test ...