MATLAB Code Implementation for Weibull-Distributed Sea Clutter Simulation

Function: This program is designed to simulate Weibull-distributed sea clutter for Chapter 4 of a research paper. Reference: Luo Junhui. "Application of MATLAB 7.0 in Digital Signal Processing". Electronic Industry Press, p174-176. Input parameters: Signal-to-Interference-plus-Noise Ratio (SINR), sampling frequency, scale parameter, and shape parameter. Output: Time-domain waveform and probability density plots of sea clutter. The program assists researchers in simulating Weibull-distributed sea clutter, providing a convenient analytical tool. Users simply need to input the SINR, sampling frequency, scale parameter, and shape parameter to generate time-domain and probability density plots of sea clutter. The core algorithm involves generating Weibull-distributed random variables using MATLAB's wblrnd() function and calculating probability density through statistical distribution functions. This helps researchers better understand and analyze the characteristics of sea clutter. The program design references Luo Junhui's work "Application of MATLAB 7.0 in Digital Signal Processing", with relevant content found on pages 174-176. Key implementation aspects include parameter validation, random number generation with specified distribution parameters, and dual-plot visualization using subplot() function. These references provide deeper background knowledge and theoretical foundation, helping users better comprehend and utilize the program effectively. In summary, this program represents a powerful and user-friendly tool that provides researchers with simulation results for Weibull-distributed sea clutter. The code structure includes modular parameter handling, statistical computation components, and automated plotting features, assisting researchers in conducting related studies more efficiently.