Abstract

Synthetic Aperture Radar (SAR) repeater jamming destroys the quality of SAR images and causes a large number of false alarms and missed alarms for SAR target detection. In this paper, the imaging characteristics of the jamming are analyzed for the two typical repeater jammings of SAR Interrupted Sampling Repeater Jamming (ISRJ) and Micro Motion Jamming (MMJ), and a SAR repeater jamming detection algorithm based on Circle Frequency Filter (CFF) is proposed. The feasibility of the algorithm is theoretically analyzed. Finally, the effectiveness of the algorithm is verified based on the real SAR image with jamming.

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