分布式多传感信息融合系统的异步航迹关联方法

Asynchronous track-to-track association method in distributed multi-sensor information fusion system

中文关键词  信息融合  局部航迹  异步航迹关联  网络优化

英文关键词  information fusion  local tracks  asynchronous track association  network optimization

中文摘要

      在分布式多传感信息融合系统中,由于每个局部传感器的采样频率不同以及具有不同的通信延迟,导致来自不同传感器的局部航迹往往是异步的.针对此问题,提出了一种异步航迹关联方法.该方法首先基于最小二乘法实现单传感器的时域融合,从而将多传感异步航迹同步化.接下来,将多传感多目标航迹关联问题转化为在网络中搜索总费用最小的多个互不相交的路径问题,从而获得相应于每个目标的各个传感器的局部航迹组合.仿真试验表明,算法可以有效地解决异步航迹的关联问题,且具有较高的关联成功率.

英文摘要

      In the distributed multi-sensor information fusion system,the local sensors usually provide tracks at different rates with different communication delays.As a result the local tracks from different sensors usually are asynchronous.To address the problem,an asynchronous track-to-track association method is presented.Firstly,the fusion of the single sensor in time domain was accomplished by means of the least squares (LS) algorithm.After accomplishing fusion,the asynchronous tracks were synchronized.Secondly,the multi-sensor multi-target track association was transformed into a network optimization problem consisting in finding the multi-paths without intersection and with the lowest total search cost.This led to the multi-sensor combination of local tracks from the same target.The simulation results show that the presented method can effectively solve the asynchronous track-to-track association problem,and the correct association is of high probability.