A SAR Interference Suppression Method Based on Diffusion Model

With the increasingly complex electromagnetic environment, interference suppression has become an important task in synthetic aperture radar (SAR) imaging. Therefore, we propose a SAR interference suppression algorithm based on the diffusion model. Specifically, this algorithm consists of three steps. First, the diffusion model is used to learn the prior distribution of unjammed SAR images. Second, the noise index of the jammed SAR image is calculated, which determines the number of iterations in the stochastic denoising process of the diffusion model. Finally, the jammed image is input into the denoising process with the prior distribution for iterative denoising, and an output image with effective interference suppression is obtained. Experimental results demonstrate that this algorithm can effectively handle SAR images affected by different types of active interference, achieving the goal of interference suppression.