Source Code for Radar Clutter Simulation

This article provides source code for simulating radar clutter. The code is delivered in M-file format, implementing key algorithms for generating realistic radar clutter scenarios. The implementation includes core functions for modeling various clutter types (such as ground, sea, and weather clutter) using statistical distributions like Rayleigh, Weibull, or K-distribution models. The source code contains comprehensive comments and explanations that clarify each processing step and parameter configuration. Key functions are designed with modular architecture, allowing users to easily modify clutter characteristics including amplitude statistics, spectral properties, and spatial correlation. Parameters such as clutter-to-noise ratio (CNR), Doppler frequency, and correlation length can be adjusted through well-documented input interfaces. Through this code, users can conduct customized experiments and parameter adjustments to meet various application requirements, including different radar operating modes and environmental conditions. The implementation demonstrates practical techniques for clutter spectrum generation using autoregressive models or Fourier-based methods. Additionally, the code serves as valuable reference material for studying radar signal processing fundamentals, providing insights into clutter suppression techniques and performance evaluation metrics. Overall, this source code represents a valuable tool that offers substantial learning and practical opportunities in radar system simulation and signal processing algorithm development.