针对受距离门拖引(RGPO)干扰导致的雷达跟踪误差增大、航迹中断概率变高等问题,提出基于匈牙利概率数据互联的抗RGPO 干扰跟踪方法。首先,分析RGPO 干扰和雷达跟踪原理,将雷达抗干扰跟踪问题建模为邻近多目标跟踪问题。然后,设计假目标虚拟航迹起始算法,并在概率数据互联框架下引入匈牙利算法进行真假航迹交互修正,有效解决抗干扰跟踪时点迹-航迹错误关联、滤波发散等问题。最后,理论分析和仿真结果表明,与传统方法相比,所提方法在未受干扰时雷达跟踪性能保持不变,在受RGPO 干扰时可有效提升目标跟踪精度、大幅降低航迹中断概率。

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.

TN972