Simulating Correlated K-Distributed Clutter

A method of simulating the temporal and spatial correlation of k-distributed sea clutter has been developed. Long term correlation is simulated by interpolation and rotation of a correlation Gaussian surface which is then transformed a Gamma “texture” surface by a MNLT (Memoryless Nonlinear Transform). Short term correlation is simulated by a weighted local average. This provides a fast, flexible means of generating realistic correlated K-distributed data (both IQ and amplitude).