多传感器跟踪系统自适应Kalman滤波融合  

Tracking target by multi-sensor fusion using adaptive Kalman filtering

作　　者：梁卫星[1] 周杰[1] 

机构地区：[1]四川大学数学学院,四川成都610064

出　　处：《传感器与微系统》2009年第9期40-43,共4页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(60574032;10826101)

摘　　要：多传感器目标跟踪的一个实际问题是如何获得目标的过程噪声信息,以获得较好的跟踪性能。针对多传感器分布式估计融合系统,利用这种自适应技术给出了一种自适应Kalman滤波的融合方法,它具有与中心式相近的跟踪性能。计算机模拟结果表明:这种方法具有较优良的性能。The key problem of multi-sensor tracking targets is how to get the information of the process noise so as to get a good performance of tracking targets. The adaptive Kalman filter is used to track a maneuvering target under the system of the distributed estimation fusion. It has the asymptotical performance with the centralized system. Simulation shows that this technique has a good performance.

关 键 词：自适应Kalman滤波 目标跟踪 估计融合 

分 类 号：O231.1[理学—运筹学与控制论]