方差自适应机动目标跟踪算法研究  

Research on Improved Adaptive Tracking Algorithm for Maneuvering Targets

作　　者：孟庆虎 刘宝光[2] 

机构地区：[1]凯迈(洛阳)测控有限公司,河南洛阳471009 [2]南京航空航天大学电子信息工程学院,江苏南京210016

出　　处：《计算机仿真》2012年第9期10-13,共4页Computer Simulation

摘　　要：针对机动目标弱机动时不能自适应调整,从而对弱机动目标跟踪精度不高的缺点,提出了一种改进的方差自适应机动目标跟踪算法。新算法将机动目标的运动状态分为弱机动状态和强机动状态,并通过新息平方的统计量和当前加速度估值进行机动自适应检测,能够根据目标当前的机动特性自适应调整过程噪声协方差矩阵,使运动模型与机动目标的当前运动状态相匹配,在保持对强机动目标跟踪性能的同时,实现了对弱机动目标更为精确的跟踪。仿真结果表明,改进算法对弱机动目标的跟踪性能明显优于当前统计模型。The ability of tracking a non-maneuvering target is poor with the current statistical model, because the variance of maneuvering acceleration is the biggest when the maneuvering acceleration is zero. An improved current statistical model with motion detection was proposed in this paper. By using the statistical distance of observation re-siduals and the maneuvering acceleration to sort the maneuver states of target, the system covariance was adjusted to improve the match between the motion model and the system model. Thus the approach enhances tracking perform-anee for non-maneuvering targets and maintains good performance for highly maneuvering targets. The simulation re-sults show that the algorithm is more efficient for maneuvering targets tracking than the current statistical model.

关 键 词：当前统计模型 机动检测 过程噪声协方差 机动目标跟踪 

分 类 号：V557.5[航空宇航科学与技术—人机与环境工程]