Radar Clutter Simulation and Modeling Using ZMNL Method

In this article, we employ the ZMNL (Zero Memory Nonlinearity) method to simulate and model radar clutter, generating data characterized by Rayleigh distribution. This approach facilitates better understanding of clutter properties in radar systems and yields more accurate simulation outcomes. Through ZMNL implementation, we can simulate radar clutter under various scenarios, enabling improved evaluation and optimization of radar system performance. The method typically involves transforming correlated Gaussian random variables through nonlinear transformations to achieve desired amplitude distributions. By adjusting ZMNL parameters such as correlation coefficients and nonlinear mapping functions, we can simulate different types and intensities of radar clutter, allowing comprehensive analysis of their impact on system performance. Key implementation steps include generating correlated Gaussian sequences, applying nonlinear transformations for distribution shaping, and validating results through statistical tests. Therefore, ZMNL-based radar clutter simulation serves as a valuable tool that provides critical reference data for radar system design and optimization.