Research on Group Tracking Algorithm for Resolvable Spatial Dense Target

Abstract

In order to effectively improve the early tracking situation of space group targets, and improve the tracking processing speed and the tracking accuracy for the high-speed target group, a group tracking algorithm of space dense target was proposed. Based on global cluster segmentation, group association and group tracking, the problem of early continuous stable tracking of spatial dense targets with short distances and unobvious differences of motion feature was solved, and the group information of the early stage was obtained by tracking the group. The speed of processing the target data can be improved. By clustering while tracking, the group target tracking is gradually transferred to multi-target tracking. At the same time, the tracking accuracy improves by combining the spatial dynamic equation in the process of tracking target, which improves the tracking ability and tracking accuracy of the radar system to distinguish the dense target group.