摘要
针对临近空间目标,进行了深入研究,根据临近空间目标状态方程的特点,分析了目标跟踪中常用的卡尔曼滤波和粒子滤波算法的优缺点,并将这2种滤波与交互式多模型算法相结合,提出了交互式多模型-卡尔曼滤波算法和交互式多模型-粒子滤波算法,并通过CV,CA和CT 3种动力学模型进行仿真分析。仿真结果表明,采用这2种算法能够满足跟踪临近空间目标的要求,具有一定的工程实用价值。
The target in near space is deeply analyzed. According to the characteristics of state equation,the merit and demerit of Kalman filter(KF) and particle filter(PF) in object tracking are analyzed, and combined KF and PF with interacting multiple model(IMM) , the IMM-KF and IMM-PF are presented. An analysis through the constant velocity (CV), constant acceleration (CA)and constant turning (CT) dynamics model is earried out. The computer-aided experiment shows that the IMM-KF and IMM- PF can satisfy tracking the target in near space,soit is of the practical engineering value.
出处
《现代防御技术》
北大核心
2016年第1期134-140,共7页
Modern Defence Technology