基于联邦卡尔曼的GPS/基站定位信息融合算法  

Location Information Fusion Algorithm for GPS /Base-Station Positioning System Based on Federated Kalman Filter

作　　者：邓中亮[1] 尹露[1] 杨磊[1] 余彦培[1] 席岳[1] 

机构地区：[1]北京邮电大学电子工程学院,北京100876

出　　处：《北京邮电大学学报》2013年第6期32-36,共5页Journal of Beijing University of Posts and Telecommunications

基　　金：国家高技术研究发展计划项目(2012AA120801)

摘　　要：为了将全球定位系统(GPS)和基站定位系统相结合,以实现城市环境中的无缝定位及更高的定位精度,提出了一种针对GPS/基站定位系统的信息融合算法.通过分析接收机运动特点,建立系统状态模型,采用联邦卡尔曼滤波器,对2个定位系统的定位信息进行先分散后集中处理.分析了信息分配因子对滤波效果的影响,并提出了一种根据精度因子及载噪比来进行信息分配的方法.该算法通过融合GPS和基站的定位数据,可有效提高定位精度.仿真及实测结果说明了算法的有效性.An information fusion algorithm was proposed for using both global positioning system （GPS）/ base-station positioning system to get high positioning accuracy. The system state was modeled by analy- zing the movement features, and the federated Kalman filter was used to fuse the two systems. The effect of information distribution factor was analyzed. A distribution method was proposed by horizontal dilution of precision and carrier to noise ratio. The positioning accuracy was improved by using the proposed algo- rithm. Simulations and examinations show the effectiveness of the algorithm.

关 键 词：联邦卡尔曼滤波 全球定位系统 基站定位系统 水平精度因子 载噪比 

分 类 号：TN967.2[电子电信—信号与信息处理]