多回波环境中多机动目标跟踪的新算法*

目标的状态估计与数据关联是机动多目标跟踪中的关键问题.针对杂波环境中多机动目标的跟踪问题,本文首先引入一种自适应滤波算法,并与快速概率数据关联算法结合,提出一种适于实际应用的密集回波环境下机动多目标跟踪的新算法-快速自适应概率数据关联(FAPDA)算法,利用近似概率数据关联(PDA)算法的计算量达到优于联合概率数据关联(JPDA)算法的跟踪效果,并能快速检测到机动.通过与JPDA算法的仿真结果进行对比,表明了该算法的有效性和快速性.

Multiple Maneuvering Targets Tracking in Cluttered Environment

State estimation and data association are the key problems in multiple maneuvering target tracking. Aimed at solving the problems of multiple maneuvering target tracking in cluttered environment, the author proposed a new algorithm(FAPDA) which combined an adaptive filtering algorithm with a fast probabilistic data association. It can achieve the better performance than joint probabilistic data association (JPDA) with slightly increased computational cost of probabilistic data association (PDA), and quickly detect the motion of the targets. Computational simulation shows the efficiency and speed ability of the new algorithm.