Optimal Waveform-Based Clutter Suppression for SAR Imaging

Radar performance improvement through waveform optimization has been an ongoing topic of research recent years. In this paper, we use the optimal waveform design method based on Neyman-Pearson (NP) detector criterion to meet the application of SAR system and aim at enhancing SAR image quality. The optimal waveform is designed theoretically corresponding to the target response and clutter power spectrum density (PSD) and an amplitude limiter is set to suppress the clutter response while maintain most of the target response. Simulated results are presented based on our method and improvement in image is approached. Finally, the conclusions are drawn based on our analysis and simulations.