异步航迹关联算法与仿真

The Algorithm and Simulations for the Asynchronous Track Association

在分布式多传感多目标信息融合系统中,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,导致送入融合中心的局部航迹往往不是同步的。本文提出一种异步航迹的关联方法,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;然后利用网络优化算法,获得相应于每个目标的各个传感器的局部航迹组合。仿真试验表明本文算法在解决异步航迹关联问题的有效性。

In the distributed multi-sensor multi-target information fusion system, the local sensors usually provide the respective tracks at the different rates with different communication delays. An asynchronous track-to-track association method is developed in this paper. Firstly, the fusion of the single sensor at time domain is accomplished by means of the Least Mean Square (LMS) algorithm. As a result of the fusion, the asynchronous tracks are synchronized. Secondly, multi-sensor local track combination from the same target is obtained by means of network optimization method. The simulation results indicate that the presented method can solve effectively the asynchronous track-to-track association problem.