High resolution millimeter wave RADAR has become a reality in today's sensor world. System development and simulation-based acquisition are increasing the demands for high fidelity environmental models. Therefore, high resolution clutter models are imperative. The RADAR ground clutter signal is most often treated as some random variable with a given probability distribution function with some mean value depending upon the particular RADAR, desired clutter properties, and relative geometry. This paper will show the results of implementing a technique to correlate adjacent clutter scatterers in the clutter model while maintaining the overall clutter statistics. This correlated clutter will be matched to a clutter class map which was derived from visual data of a specific terrain location. Processed images from a high resolution RADAR simulation will be shown and compared to the visual images and clutter maps.
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