Abstract:

In order to solve the multi-sensor group targets refined track initiation problem, a gray refined track initiation algorithm for group targets is proposed. In this algorithm, the preparatory group division and association are done based on the circulatory threshold model and the group centers firstly. Secondly, many subgroups are obtained from the associated groups based on the sensors. The clutters in the subgroups from the same sensor and the repeated information of the same target from the sensors in the groups are eliminated respectively with the gray refined association model and the measurement combination model. Finally, the measurement refined association of the groups is done with the gray refined association model, and the tracks are validated based on the track score. The analysis results of the simulation data show that the general performance of this algorithm is better than that of the distributed multi-sensor modified logic algorithm and the centralized multi-sensor multi-formation track initiation algorithm based on clustering and Hough transform.