可分辨空间密集目标群跟踪算法研究

为了有效改善可分辨空间目标群的早期跟踪态势,提高高速目标群的跟踪处理速度和跟踪精度,提出了可分辨空间密集目标群跟踪算法。该算法首先通过全局聚类群分割、群关联和群跟踪,解决大量距离靠近、运动特征差异不明显的高速空间目标群早期连续稳定跟踪问题; 通过群跟踪掌握早期群整体信息,提高目标数据处理速度。在此基础上,边跟踪边分群,由群目标跟踪逐渐过渡到多目标跟踪,在群目标跟踪中通过结合空间动力学方程提高群内目标的跟踪精度,提升雷达系统对可分辨密集空间目标群的跟踪能力。

Research on Group Tracking Algorithm for Resolvable Spatial Dense Target

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.