在海面低空多目标跟踪场景下,由于受到海杂波的影响,多假设跟踪算法会生成大量虚假航迹并发生航迹中断。针对此问题,提出一种基于幅度信息辅助的海面低空多目标多假设跟踪算法。首先,算法采用先验的信杂比信息,通过设置幅度门限区分出目标回波量测与杂波量测;然后,利用回波量测的幅度信息修正多假设跟踪算法中的航迹得分,提高数据关联的准确度;最后,针对跟踪处理后出现的航迹中断问题,采用图模型方法实现航迹粘连。仿真实验结果表明,文中提出的算法能够有效降低海杂波的影响,减少虚假航迹与中断航迹的产生。

In the low-altitude marine multi-target tracking scenario, due to the influence of sea clutter, the multiple hypothesis tracking (MHT) algorithm will generate a large number of false tracks and cause track interruption. Aim to solve this problem, an amplitude information aided MHT algorithm is proposed in this paper. Firstly, the algorithm uses a priori signal-to-clutter ratio information to distinguish the target measurement and clutter measurement by setting an amplitude gate. Then, the amplitude information of measurement is used to modify the track score in the MHT to improve the accuracy of data association. Finally, to solve the problem of track interruption after tracking processing, the graph model method is used to realize track sticking. Simulation results show that the proposed algorithm can effectively reduce the influence of sea clutter on the MHT, and reduce the generation of false tracks and interrupted tracks.

TN953