基于序贯关联算法的多目标无源跟踪

Multiple Targets Passive Tracking Based on Sequential Interconnected Fuzzy

摘要:

基于序贯关联算法,对多目标无源跟踪问题进行了研究。在只有角度信息可以利用的情况下,首先,利用波门技术对各个无源传感器角度测量数据进行关联和滤波,形成参数航迹；然后,将各个无源传感器的参数航迹送到融合中心进行关联配对,并在关联过程中通过构造关联质量函数对参数航迹的关联历史情况进行度量,解决参数航迹关联模糊问题；最后,通过对关联成功的参数航迹进行交叉定位,给出多个不同目标的位置信息,实现分布式无源系统对多目标的数据关联和跟踪,并通过仿真分析,对算法的有效性和可行性进行验证。

Abstract:

Multiple targets passive tracking problem based on sequential interconnectal algorithm was studied in this paper. The bearing-only measurements could be provided by the passive system, which were selected through validation region, and those in the validation region were associated. Tracks were initiated and main. tained at the sensor level of the distributed multiple passive sensor systems. Unassigned angle tracks were peri. odically sent to the fusion center for association and fusion with angle tracks from other sensors. In fusion cen. ter, the passive tracks are associated using chi-square test to solve the multiple target correct data association problem. In order to solve the interconnected fuzzy problem, the angle track interconnected function was defined which was used to showed the reliability of correct correlation. At the same time the angle track optimized pro. cessing methods and the direction finding location algorithm were also discussed in this paper. Simulation re. sults showed that using the method proposed in this paper the targets could be tracked with bearing-only mea. surements, and the feasibility and validity of the algorithm was also revealed.