Abstract: In this paper, an anti rauge gate pull-off (RGPO) jamming tracking method based on the Hungarian probabilistic data association is proposed, to solve the problems of increased radar tracking error and higher probability of track interruption caused by RGPO jamming. Firstly, the principles of RGPO jamming and radar tracking are analyzed, and the radar anti-RGPO tracking problem is modeled as a neighboring multi-target tracking problem. Then, the false track initiation algorithm is designed and combined with the hungarian algorithm under the framework of probabilistic data association to achieve the real-false trajectories interactive correction, which effectively solves the problems of measurements-trajectories error association and tracking filter dispersion during anti-RGPO tracking. Finally, the theoretical analysis and simulation results demonstrate that, compared with the traditional method, the proposed method keeps the radar tracking performance unchanged without RGPO jamming, effectively improves the tracking accuracy, and significantly reduces the probability of track interruption under RGPO jamming.