Research On Multi - Target Data Association and Location Algorithm Based On Passive Multi - Sensor System

Yao Siyi, Xu Jianliang, Shen Weiguo, Wang Li, Li Wanchun
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Abstract

In this paper, the multi-target positioning research is carried out on the basis of a passive multi-sensor reconnaissance system, which requires an algorithm to solve the problem of multi-target data association and positioning in the presence of false alarms and missed detections (also named non-ideal). This paper proposes a new data association and localization algorithm. This new algorithm adopts the method of hierarchical association of data, achieves data association through coarse association and fine association, and finally deletes redundant targets through backtracking. The simulation results show the effectiveness and stability of the algorithm.
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基于无源多传感器系统的多目标数据关联与定位算法研究
本文在无源多传感器侦察系统的基础上进行多目标定位研究,该系统需要一种算法来解决存在虚警和未检出(又称非理想)情况下的多目标数据关联和定位问题。提出了一种新的数据关联与定位算法。该算法采用数据分层关联的方法,通过粗关联和精关联实现数据关联,最后通过回溯删除冗余目标。仿真结果表明了该算法的有效性和稳定性。
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