Typical Radar Clutter Simulation Models

This paper presents MATLAB-based simulation programs for several typical radar clutter models. The implemented clutter types include Rayleigh clutter, correlated log-normal distributed clutter, correlated Weibull distributed clutter, and coherent correlated K-distributed clutter. These programs incorporate specialized generation algorithms that model the statistical properties and correlation characteristics of different clutter types. The Rayleigh clutter module uses phase randomization techniques to generate complex Gaussian distributions. The correlated models employ auto-regressive filtering and non-linear transformation methods to achieve specified correlation properties while maintaining target distribution characteristics. The K-distribution implementation combines compound statistical modeling with coherent processing techniques to simulate both amplitude and phase characteristics. These well-documented programs allow researchers to analyze clutter statistical properties, adjust distribution parameters (including shape and scale parameters), and study correlation effects through practical examples. Developed based on current research findings and theoretical foundations, these implementations ensure high accuracy in simulating real-world radar clutter environments. Researchers are encouraged to utilize these programs for in-depth studies of radar clutter characteristics and contribute to advancements in radar signal processing technology through practical application and modification of the provided codebase.