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

ZHU Hong-yan, HAN Chong-zhao, HAN Hong, WEN Rong (School of Electronic and Information Engineering,Xi'an Jiaotong University,Xi'an Shaanxi 710049,China)  
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.
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