杂波下变结构概率数据关联算法

Probabilistic data association based on VSIMM in cluttered environment

针对杂波情况下的舰艇防空作战中对单机动目标跟踪问题,提出了一种变结构数据关联算法。通过自适应网格算法实现对多种运动模式的机动目标进行自适应跟踪,用概率数据关联算法对杂波下目标进行状态估计,将变结构算法的自适应能力和概率数据关联的杂波跟踪能力相结合。通过模拟跟踪典型反舰导弹机动轨迹,将该算法与标准IMMPDA算法相比较。仿真结果表明,该算法具有较高的关联精度和更短的跟踪时间,对于提升舰艇防空效能和增强生命力有着积极意义。

In order to meet the needs of the air defense combat,a probabilistic data association based on VSIMM was proposed to improve the accuracy of maneuvering target tracking in cluttered environment.The adaptive grid algorithm was used to track the various maneuvering target adaptively,while the state vectors of targets was obtained through probabilistic data association.It is combined with the adaptive ability of VSMM and the accuracy of PDA.The VSIMMPDA is compared with the standard IMMPDA through tracking a typical maneuvering anti-ship missile.The simulation results show that VSIMMPDA is superior to the IMMPDA,while maintaining higher association precision and less tracking time,and is helpful to improve aerial defense efficiency and the vitality of the naval ship.