基于矩形覆盖的异步航迹抗差关联算法

Asynchronous anti-bias track association algorithm based on rectangular cover method

在分布式多目标跟踪系统中,由于各传感器开机时间不同以及采样频率的差异等原因,导致各节点接收到的局部航迹往往是异步不等速率的;同时,系统误差的存在也影响了融合系统的性能。针对这一问题,提出一种基于矩形覆盖的异步航迹抗差关联算法,该算法通过矩形覆盖法生成带差灰区间,然后通过划分区实混合序列与矩形覆盖的方法处理航迹,最后通过灰关联方法进行关联判定。仿真实验表明,本算法能有效解决异步带差航迹的关联问题。

In the distributed multi-target tracking system,the local track received by each node is often asynchronous and has unequal rate due to the different boot time and different sampling frequencies,and the error existing in the system also affects the performance of the fusion system.For the above problems,an asynchronous anti-bias track association algorithm based on rectangular cover method(RCM)is presented.The algorithm generates the difference gray section by means of RCM,and then processes the track by means of the divided interval-real mixed sequence and RCM.The grey correlation method is adopted to judge the correlation of the track.The simulation experimental result shows that the presented algorithm can effectively solve the association problem of asynchronous difference track.