基于联邦滤波的GPS/DR组合导航信息融合  

Information Fusion of GPS/DR Integrated Navigation Based on Federal Filter

作　　者：朱虹[1] 关永[1] 关桂霞[1] 

机构地区：[1]首都师范大学信息工程学院

出　　处：《微计算机信息》2008年第10期233-234,36,共3页Control & Automation

基　　金：北京市自然科学基金项目(4062009)项目名称:卫星有效载荷高速总线通信研究;北京市高校中青年骨干教师基金项目(075313104)项目名称:基于GPS的目标定位与跟踪

摘　　要：针对车载GPS/DR组合导航系统的特点,采用联邦滤波算法,构建了两级结构的联邦卡尔曼滤波器。子滤波器分别处理GPS和DR传感器信息,主滤波器进行信息融合,并对子滤波器进行信息分配和重置,克服了GPS单独使用时因信号中断而引起的系统失效,使系统具有更好的容错能力,进一步提高了系统的定位精度。试验结果证明了算法的有效性。The federal filter, structured with 2 levels, is used to realize the information fusion of vehicle GPS/DR navigation system. Two local filters process GPS and DR data respectively, and main filter is responsible for data fusion and data reset to local filters according to the information distribution rule. The system positioning precision is much higher than that of GPS used only, and the system unavailability caused by GPS signal interrupting is avoided. The experiment results turn out that the algorithm i...

关 键 词：组合导航 联邦滤波 信息融合 定位精度 

分 类 号：TN967.1[电子电信—信号与信息处理]