Simulation of Gaussian Spectrum Clutter with Log-Normal Distribution in Radar Clutter Environments

This study provides a comprehensive investigation and analysis of simulating Gaussian spectrum clutter with log-normal distribution in radar systems. We employ advanced simulation techniques that utilize inverse Fast Fourier Transform (IFFT) methods to generate correlated Gaussian sequences, followed by exponential transformations to achieve the log-normal amplitude distribution characteristic of real-world radar clutter. The simulation framework includes spectral shaping filters to model the Gaussian spectrum properties and statistical validation routines to ensure accuracy. Through detailed analysis of simulation results, we derive critical conclusions about radar clutter characteristics and behavior, providing substantial theoretical foundations and practical guidance for radar system design and optimization. This research significantly contributes to enhancing radar system performance and reliability while advancing the development and innovation of radar technology through improved clutter modeling capabilities.