Simulation of Radar Clutter Amplitude with Log-Normal Distribution

In this program, we simulate radar clutter amplitude following a log-normal distribution. This means that in radar signals, the clutter amplitude exhibits a specific distribution pattern that can be described using the log-normal distribution. The implementation typically involves generating random variables through logarithmic transformations of normally distributed data, ensuring the amplitude characteristics match real-world radar clutter scenarios. Simultaneously, we simulate the power spectrum distribution of the radar signal, which conforms to Gaussian spectral characteristics. This indicates that the power spectrum distribution in radar signals also demonstrates Gaussian distribution properties, implemented using Fourier transform techniques and spectral shaping algorithms. Through this simulation program, we can better understand the distribution patterns of clutter and power spectrum in radar signals, thereby providing more accurate foundations for radar signal processing and analysis. The code structure includes modules for statistical distribution generation, spectral analysis, and visualization components for result validation.