历史信息驱动反馈融合多目标跟踪算法研究

The Research on Multi-Target Tracking Algorithm Based on Historical Information Driven Feedback Fusion

针对目标跟踪目标数量大，观测数据与目标状态相关性较为复杂的问题，本文提出了一种驱动历史信息和反馈融合的多目标跟踪算法，即驱动反馈融合多目标跟踪方法（HIFMTT），并对杂波环境下目标数量未知的多目标跟踪问题进行了大量仿真试验。仿真结果表明，该算法能较好地完成多目标跟踪，并具有较好的鲁棒性。

In view of the problem of large number of target tracking and eomplieated correlation between obseFvationdata and target state, this paper presented a multi-target traeking algorithm driven by historieal information and feed-baek fusion, that is, driven feedbaek fusion multi-target traeking method （HIFMTT）. A large number of simulation ex-periments were earried out. Simulation results showed that the algorithm eould aehieve multi-target traeking and hasbetter robustness.