摘要
为了提高杂波环境下跟踪机动目标的跟踪精度,文中将交互多模型概率数据互联(IMMPDA)和固定延迟平滑(LS)思想相结合,提出了一种具有固定延迟平滑的IMMPDA(IMM-LS-PDA)算法,通过引入延迟,增广了目标的状态向量,使得目标的固定延迟平滑状态估计更加准确。仿真结果表明,在杂波环境下对机动目标进行跟踪,单纯的IMMPDA算法的跟踪误差很大,并且在转弯机动处,误差出现峰值,算法的平稳性较差;而在进行固定延迟平滑后,算法的跟踪精度有了明显的提高。
The concepts of interacting multiple model probabilistic data association （IMMPDA） algorithm and fixed lag smoothing（LS） were integrated in this paper in order to improve tracking precision of maneuvering target under clutter and interacting multiple model fixed lag smoothing probabilistic data association（IMM-LS-PDA） algorithm was deduced, in which target state vector was generalized by introducing lag so that the fixed lag smoothing state estimation of target was more accurate. Simulation results show tracking error of standard IMMPDA algorithm is very large, especially at maneuvering turn of target, the error reaches peak value, meanwhile the stability of IMMPDA is poor; while IMM-LS-PDA algorithm has quite better tracking precision.
出处
《弹箭与制导学报》
CSCD
北大核心
2008年第2期193-196,201,共5页
Journal of Projectiles,Rockets,Missiles and Guidance
基金
船舶行业国防预研基金项目资助
作者简介
朱志宇（1971-）．男．江苏扬州人．副教授．博士，研究方向：智能控制．信号处理。
