Abstract
In this study, a new method for the simulation of coherent K-distributed clutter is presented. This method is based on the principle of each quadrature component of K-distributed clutter can be modeled, exactly or approximately, by a weighted sum of products of two independent Gaussian variables. This method can generate correlated coherent clutter with arbitrary complex ACF (autocorrelation function). At the same time, compared with the classic methods ZMNL (zero memory nonlinear) and SIRP (spherically invariant random process), it doesn't need solving nonlinear equations, so the algorithm complexity is decreased dramatically
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