Amplitude Information Aided Multiple Hypothesis Tracking Algorithm for Low Altitude Marine Multi-target at Sea

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.