为了提高多目标跟踪的跟踪精度以及解决传统雷达多目标跟踪方法中杂波数目过多的缺陷,提出一种基于光电测量的双站系统多目标跟踪方法.首先设计了一种利用矩形关联门确定双站视野内目标数目的算法,然后利用加权最小二乘法实现对量测信息进行融合并与关联门进行匹配筛选,最后采用改进的联合概率密度数据关联算法对融合数据进行处理,实现对多个目标的实时跟踪.实验结果表明,该方法可以确定视野内的目标数目并且相比于最小二乘法提高了86.6%的跟踪精度.%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. Final ly, 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.
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