In this paper, a new model for correlated K-distributed sea clutter simulation is developed, which combines a fast Gamma-distributed random process to make the procedure much simpler. Two parameters, ± and ², which can be fitted by the mean and standard deviation of the measured data, are included in this model to specify the statistical probability density characteristics of the sea clutter. Based on the analysis of the correlation properties of the compound K distribution, an auto-regressive (AR) model is adopted, which offers an efficient way to generate the sea clutter with specified power spectral.
A Statistical Model for Correlated K-distributed Sea Clutter
2008 Congress on Image and Signal Processing ; 5 ; 408-412
01.05.2008
321975 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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