一种分布式异步航迹融合算法

A Distributed Asynchronous Track Fusion Algorithm

在多被动传感器目标跟踪中,融合中心处理的信息一般是同步的,然而实际情况并非如此。另外,一些被动传感器只能得到目标的方位信息,无法单独形成有效航迹,这就需要将各传感器数据同步到相同时刻,然后应用同步融合算法。针对被动传感器探测系统,采用传感器到传感器融合和系统到传感器融合的分布式融合结构,并对各局部传感器引入全局反馈,对相关信息采用协方差交叉算法进行处理,完成被动传感器异步数据的融合,仿真结果表明,该算法具有较好的融合效果。

Data processed by the information fusion center for passive sensor multi-target tracking should be synchronized in most cases,but it is not the case in reality.Besides,passive sensors can only get the position information of a target and cannot form effective trajectory with only this information as data of the sensors have to be synchronized to the same moment for use by the synchronized fusion algorithm.This paper proposes asynchronous sensor data fusion with a distributed sensor fusion architecture,featuring sensor-to-sensor fusion and system-to-sensor fusion,and introduction of global feedback.Covariance intersection method is used to process interrelated information.Simulation results show that the algorithm provides excellent fusion performance.