Generation of Synthetic Clutter Signals with Denoising Diffusion Probabilistic Models

Rural clutter channels, which vary over time, significantly impact radar measurements and communications. Predicting their amplitude, Doppler, and phase characteristics remains a challenging task. The goal of this study is to simulate bistatic radar clutter channels in rural areas by looking at transfer functions that are based on real X-band measurement data. We suggest a denoising diffusion probabilistic model (DDPM) to capture the fine details of fast-fading channels. This will make it possible to create fake clutter radar data. The results demonstrate that our DDPM can accurately simulate rural clutter channels, providing a valuable tool for testing and evaluating radar systems. We also discuss the model's sensitivity to real data and the accuracy of the generated simulations.