为了有效提高分布式传感器网络中航迹关联的计算速度,本文提出了一种基于临时航迹和航迹可信度的模糊航迹关联算法.该算法首先利用来自同一局部航迹的两个点迹形成临时航迹,再采用临时航迹与系统航迹关联；同时引入航迹可信度,当多条系统航迹与一条临时航迹关联时,选取加权关联度最大的系统航迹与该临时航迹关联.将该算法用于一个航迹关联的仿真实验中,与传统的模糊航迹关联算法相比,仿真结果表明该算法在保证关联正确率的前提下,提高了航迹关联速度和融合结果的性能,是一种有效的航迹关联方法.%Focused on improvement on computational speed of track-to-track association in distributed sensor network, a novel fuzzy track-to-track association algorithm based on a temporary track and track reliability is proposed in this paper. Firstly, in the global node, a temporary track is formed by two measurements from a local track, then track association is between the temporary track and system tracks. In addition, track reliability is introduced to use as the association rule that only a system track with the maximum weighted association degree can be selected to associate with the temporary track when there exist several system tracks associated with a temporary track. By applying the proposed algorithm to a simulation experiment of track association, the simulation results show that it can determine targets' tracks accurately, has better performance in the speed of track association processing than traditional fuzzy association algorithms, and is an effective and feasible track association method.
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