＜正＞In this paper,a particle filter based multi-scan JPDA filter is proposed to deal with the data association ...
LIU Jing~1,HAN Chongzhao~1,HU Yu~2 1.School of Electronics and Information Engineering,Xi''an JiaoTong University,Xi''an 710049,P.R.China 2.Schools of Aeronautics,Northwestern Polytechnical University,710072,P.R.China
＜正＞When a target performs maneuvering movements,the target’s state variables,such as position and velocity,var...
LIU Jing~1,HAN ChongZhao~1,HU Yu~2 1.School of Electronics and Information Engineering,Xi''an JiaoTong University,Xi''an 710049,P.R.China 2.Schools of Aeronautics,Northwestern Polytechnical University,P.R.China 710072
根据有限集统计方法,推导得到了可适用于不可分辨目标跟踪问题的势概率假设密度(cardinalized probability hypothesis density,CPHD)滤波器。类似传统的点目标CPHD滤波器,该不可分辨目标CPHD滤波器不仅可以递推地传递多目标状态集合的一阶统计矩,还可以传递多目标个数(即势)的概率分布。蒙特卡罗仿真实验表明,相比Mahler提出的不可分辨目标PHD滤波器,所提出的不可分辨目标CPHD滤波器具有更加精确和稳定的多目标个数和状态估计,但它的计算量要大于不可分辨目标PHD滤波器。
