一种用于仅有位置观测信息的机动目标跟踪滤波算法  

A Filtering Algorithm for Maneuvering Target Tracking with Position-only Measurements

作　　者：马慧敏[1,2] 何金刚[2] 胡士强[1] 

机构地区：[1]上海交通大学空天科学技术研究院,上海200240 [2]中国空空导弹研究院,河南洛阳471009

出　　处：《弹箭与制导学报》2011年第3期63-65,72,共4页Journal of Projectiles,Rockets,Missiles and Guidance

基　　金："十一五"预研基金资助

摘　　要：在机动目标跟踪研究领域,"当前"统计模型自适应跟踪算法(ATS)在仅有位置观测信息的机动目标跟踪中具有一定应用价值。针对ATS算法中目标最大机动加速度为预设的常值,存在不能很好的适应各种机动情况的问题,对目标最大机动加速度进行实时自适应调整优化设计,使目标最大机动加速度以指数形式实时逼近加速度估值均值。改进后的滤波算法保持了原算法机动加速度的分布特性,提高了目标的跟踪精度。Adaptive tracking algorithm （ATS） of current statistical models is of some value in the research of maneuvering target tracking with position-only measurements. Maximum acceleration of maneuvering targets is preset to be constant in the ATS, so it is difficult to meet all maneuvering conditions. In this paper, an improved filtering algorithm was presented, by which the maximum acceleration can be adjusted in exponential form to approach to the mean value of the acceleration estimation in real time. The distributing characteristics of acceleration of maneuvering targets of the earlier algorithm were reserved, and the tracking ／ precision of the target was also improved.

关 键 词：机动目标跟踪 “当前”统计模型 自适应滤波算法 

分 类 号：V448.23[航空宇航科学与技术—飞行器设计]