Statistical Model Simulation of Clutter

This program provides simulation tools for various statistical models of clutter, including correlated Rayleigh distribution, correlated log-normal distribution, correlated Weibull distribution, and correlated K-distribution models. The implementation incorporates covariance matrix generation for correlation modeling and utilizes inverse transform sampling methods for random variate generation. Key algorithmic components include maximum likelihood estimation for parameter fitting and Fast Fourier Transform (FFT)-based techniques for efficient correlated sequence generation. The system architecture allows users to configure distribution parameters (scale/shape parameters), correlation coefficients, and sample sizes through modular input interfaces. Visualization modules generate probability density function (PDF) plots, cumulative distribution function (CDF) curves, and time-series waveforms using MATLAB's plotting libraries. Designed for multidisciplinary applications in radar signal processing, wireless communications, and environmental modeling, the program supports batch processing with result export functionality to CSV and MATLAB data formats.