The research on multi-target matching

In the simulation training of intelligence processing system, multi-target theoretical tracks should be matched to the actual multi-target tracks generated by referring to the targets´ route parameters. Research on multi-target matching is conducted through an example in this paper. The importance of selecting matching variables is proved by adopting two different methods. With the multi-target matching treated as the assignment problem, the Hungarian algorithm is applied to multi-target matching to get the optimal solution. The simulation results show that the Hungarian algorithm is an effective method for solving multi-target matching problem.