摘要
为提高对机动目标的跟踪精度,通过对目标跟踪和航迹融合算法进行研究,提出了一种基于IMM-UKF的分层航迹融合算法。基于交互式多模型无迹卡尔曼滤波(IMM-UKF)算法给出了各局部节点的航迹估计方法,在此基础上,结合各局部估计值构造了系统先验统计量,实现了利用分层航迹融合算法对多个局部节点估计值的融合。仿真结果表明,该算法在实现机动目标自适应跟踪的同时,有效提高了目标跟踪精度,增强了跟踪系统的稳定性。
In order to improve the tracking precision of maneuvering targets, a hierarchical trackfusion algorithm based on IMM-UKF is proposed by combining the theory of track fusion and stateestimation. Based on the theory of interactive multi model unscented Kalman filter （IMM-UKF） , thealgorithm of track estimation is given. Combined with the estimate results of the local nodes, the prioristatistics of the system are constructed and the fusion result is given by using hierarchical track fusionalgorithm. The simulation results show that this algorithm can effectively improve the tracking accuracyof maneuvering targets and enhance the stability of the system.
出处
《火力与指挥控制》
CSCD
北大核心
2018年第2期120-124,共5页
Fire Control & Command Control
