摘要
在多目标和杂波环境下,量测与对应目标源的关联将变得复杂,当邻近目标运动时,采用滤波算法跟踪目标时,源于目标的量测会相互干扰,导致误跟现象的发生。针对此问题,本文采用基于联合概率数据关联JPDA的方法进行处理,通过引入两个基本假设条件,即每个量测只有一个源和每个量测至多源于一个目标,计算各量测与各目标源的关联概率,进而估计出各目标的状态信息。仿真结果表明在采用本文的算法处理多目标问题时,目标的位置和速度信息能够得到较好的估计,避免误跟现象的发生。
For tracking multiple targets in cluttered environment,it is difficult to associate the measurement with the target correctly.When the targets are not well separated,the measurements will be interfered with each other and the targets will not be tracked correctly.To solve this problem,an algorithm based on joint probabilistic data association（JPDA） is used in this paper.It uses two assumptions：a measurement can have only one source and at most one measurement can originate from a target.By using the assumptions,the association probability of the measurements and the targets can be obtained and the target states can be estimated.Simulation results show the efficiency of this algorithm when tracking the targets with crossly trajectories.
出处
《电子测试》
2012年第8期24-27,共4页
Electronic Test
关键词
杂波
多目标
JPDA
目标跟踪
关联
clutter
multi-target
JPDA
target tracking
data association
