Computer Generation of Correlated Non-Gaussian Radar Clutter

We develop computer simulation procedures which enable us to generate any correlated non-Gaussian radar clutter that can be modeled as a spherically invariant random process (SIRP). In most cases, when the clutter is a correlated non-Gaussian random process, performance of the optimal radar signal processor cannot be evaluated analytically. Therefore, in order to evaluate such processors, there is a need for efficient computer simulation of the clutter. We present two canonical simulation procedures for the generation of correlated non-Gaussian clutter. A new approach for the goodness-of-fit test is proposed in order to assess the performance of the simulation procedure. © 1995, IEEE. All rights reserved.U.S. Air Force: SCEE-DACS-P35498-2, UM 91S025/28140This work was supported by the Rome Laboratory, U.S. Air Force, under Contract SCEE-DACS-P35498-2 and UM 91S025/28140. Dr. Weiner participated as a member of Rome Laboratory through the AFOSR University Resident Research Program. Dr. Ozturk participated while he was a Visiting Professor at the CASE Center, Syracuse University, Syracuse, NY. -