基于当前统计模型的机动目标被动跟踪  

Passive Tracking of Maneuvering Targets Based on Current Statistical Model

作　　者：陈非[1] 敬忠良[1] 李建勋[1] 

机构地区：[1]上海交通大学航空航天信息与控制研究所,上海200030

出　　处：《上海交通大学学报》2003年第3期366-369,共4页Journal of Shanghai Jiaotong University

基　　金："十五"重点预研项目"多传感器信息融合技术"(4 0 2 0 40 2 0 2 )

摘　　要：介绍了极坐标系下的被动跟踪算法及存在的问题 ,并分析了其原因 .为了解决机动目标的被动跟踪问题 ,选取当前统计模型对加速度进行建模 ,并建立双机目标测量模型 ,推导了被动式机动目标自适应跟踪算法 .Monte- Carlo仿真表明 。The traditional passive tracking algorithm under polar coordinates and its deficiencies were analyzed. In order to solve the problem of passive tracking of maneuvering targets, the current statistical model was utilized to model the acceleration of the unknown target motion. Then the two sensor target measurement model was given, and an adaptive passive target tracking algorithm was provided based on the current statistical model. The Monte Carlo simulation shows that the proposed algorithm can successfully track targets with any maneuvers.

关 键 词：机动目标跟踪 极坐标系 被动跟踪 当前统计模型 

分 类 号：TN953[电子电信—信号与信息处理]