The generation of correlated vectors for non-Gaussian clutter is considered for log normal, Weibull, and K-probability distributions. Previous results for log normal and Weibull distributions are summarized. Expressions for the probability distributions and moments of K-distributed clutter of any correlation are derived. Procedures for forming samples of each type of clutter are shown to be equivalent to passing white Gaussian noise through a linear filter followed by a nonlinear operation. Curves of correlation coefficients necessary for the simulation of these vectors are presented for each distribution.<>
Correlated K-distributed clutter generation for radar detection and track
IEEE Transactions on Aerospace and Electronic Systems ; 31 , 2 ; 568-580
1995-04-01
1778722 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Correlated K-Distributed Clutter Generation for Radar Detection and Track
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