Emitter group targets tracking using GM-PHD filter combined with clustering

被引：2

作者：

Zhu, You-Qing ^{[1
]}

Zhou, Shi-Lin ^{[1
]}

Gao, Gui ^{[1
]}

机构：

[1] Department of Electronic Science and Engineering, National University of Defense Technology, Changsha

来源：

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2015年 / 37卷 / 09期

关键词：

Clustering; Gaussian mixture-probability hypothesis density (GM-PHD) filter; Group targets tracking; Trajectory extraction;

D O I：

10.3969/j.issn.1001-506X.2015.09.03

中图分类号：

学科分类号：

摘要：

Group targets tracking is a more complex problem of multi-target tracking. Because the military emitter targets often turn off the radar, the traditional tracking methods do not perform well for these emitter group targets. A modified Gaussian mixture-probability hypothesis density (GM-PHD) filter combined with clustering technology is proposed. In the update process of the GM-PHD filter, the proposed method introduces the dummy measurements generated by the group centers to improve the tracking performance, rather than partitions the measurement set. After estimating the single target statements, the Jensen-Shannon divergence is used to compute their similarities. Then, the estimated targets are clustered to achieve the group tracking. Finally, the track points of the group centers in adjacent time are connected to obtain the entire trajectories of the group targets. Experiment results show that the proposed method can effectively track the emitter group targets and performs better in the simulated scenarios.

引用

页码：1967 / 1973

页数：6

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