Multi-target tracking of dual-station system based on photoelectric measurement

被引：0
|
作者：
Yun P. [1 ]
Wu P. [1 ]
He S. [1 ]
机构：
[1] School of Automation, Nanjing University of Science & Technology, Nanjing
来源：
Wu, Panlong (plwu@163.com) | 2018年 / Editorial Department of Journal of Chinese Inertial Technology卷 / 26期
关键词：
Dual station; Joint probabilistic data association algorithm; Photoelectric measurement; Weighted least squares;
D O I：
10.13695/j.cnki.12-1222/o3.2018.02.011
中图分类号：
学科分类号：
摘要：
In order to improve the tracking accuracy of multi-target tracking and solve the problem of too many clutters in traditional radar multi-target tracking method, a multi-target tracking method for dual-station system based on photoelectric measurement is presented. Firstly, a rectangular associated gate is designed to determine the number of targets in the view field of the dual-station. Then, the weighted least squares are used to fuse the observed information and match with the relevant gate. Finally, an improved Joint Probabilistic Data Association Algorithm (JPDA) is designed to process the fusion data and realize real-time tracking of multi-target. Experimental results show that this method can determine the number of targets in the view field and improve the tracking accuracy by 86.6% compared with the least square method. © 2018, Editorial Department of Journal of Chinese Inertial Technology. All right reserved.
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页码：209 / 214
页数：5
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