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Research on Repeater Jamming Detection Method in SAR Image Domain

Synthetic Aperture Radar (SAR) faces a complex electromagnetic environment in practical applications such as battlefield reconnaissance and target recognition, so it needs to have certain anti-jamming capabilities. Aiming at the detection problem of SAR repeater jamming, this paper establishes a geometric model of the jamming signal and analyzes the characteristics of typical repeater jamming in SAR images. According to the characteristics of the jamming signal, a jamming detection operator is designed, combined with the SAR image segmentation method based on the Markov random field (MRF) model, to realize the jamming detection in the SAR image domain. Simulation experiments verify the effectiveness of the method.