Modeling and Simulation of Coherent Correlated K-Distribution Radar Clutter Using SIRP Method

This program implements modeling and simulation of coherent correlated K-distribution radar clutter using the Spherically Invariant Random Process (SIRP) methodology. The implementation comprises three core MATLAB files: the main driver script K_distribution.m, along with two supporting function files nonline_eq_sirp.m and fseries.m. The nonline_eq_sirp.m function handles the nonlinear equation solving required for SIRP parameter estimation, while fseries.m implements Fourier series techniques for generating correlated clutter sequences with specified statistical properties. These files enable researchers to simulate and analyze the characteristics and behavior of coherent correlated K-distribution radar clutter environments. Through this implementation, users can gain deeper insights into K-distribution clutter modeling and conduct comprehensive simulation experiments. The code structure allows for parameter customization to simulate various radar scenarios and clutter conditions. Detailed documentation within the files provides specifications on usage methods and parameter configurations. This toolkit is designed to support research projects and academic studies in radar signal processing and clutter characterization.