一种基于“当前”统计模型的改进目标跟踪算法  

An Improved Target Tracking Algorithm Based on the "Current" Statistical Model

作　　者：李彬彬[1] 王朝英[1] 

机构地区：[1]空军工程大学电讯工程学院,西安710077

出　　处：《弹箭与制导学报》2008年第2期81-83,共3页Journal of Projectiles,Rockets,Missiles and Guidance

摘　　要：分析了"当前"统计模型跟踪非机动及弱机动目标时精度较差的原因,提出了采用隶属函数调整加速度方差改进目标跟踪的算法。该算法根据目标当前的机动状况自动地调整方差。仿真表明,该算法能够有效地提高对非机动及弱机动目标的跟踪精度。The reason of defect on tical model was analyzed, and an tracking non-maneuvering and weak maneuvering targets based on the ＂current＂ statisimproved target tracking algorithm was presented by applying membership function to acceleration variance adjustment in this paper. The algorithm can automatically adjust variance according to current target state. The simulation shows that the tracking accuracy of non-maneuvering and weak maneuvering target has been improved effectively by the algorithm.

关 键 词：当前统计模型 隶属函数 加速度极限值 

分 类 号：TN953[电子电信—信号与信息处理]