Asynchronous track-to-track association method in distributed multi-sensor information fusion system
分布式多传感信息融合系统的异步航迹关联方法

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.