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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 ...
ESTIMATION OF THE RELATION BETWEEN WEIBULL SEA CLUTTER AND THE CA-CFAR SCALE FACTOR
(Universidad de Costa Rica, 2015)
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 ...
Spectral parameter estimation of CAT radar echoes in the presence of fading clutter
(American Geophysical Union, 1982-07)
The 430 MHz, 2 MW radar at the Arecibo Observatory is currently being used as a stratospheric-troposheric (ST) radar. One of the problems in the automatic analysis of the signals come from the very large amplitude of the ...
Adaptive Radar Detection Algorithm Based on an Autoregressive GARCH-2D Clutter Model
(Institute of Electrical and Electronics Engineers, 2014-06)
We propose a model for radar clutter that combinesan autoregressive (AR) process with a two-dimensional generalizedautoregressive conditional heteroscedastic (GARCH-2D) process.Based on this model, we derive an adaptive ...