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无线定位扩展卡尔曼滤波算法的优化
引用本文:师延山,李道本,范跃祖.无线定位扩展卡尔曼滤波算法的优化[J].北京航空航天大学学报,2003,29(4):308-311.
作者姓名:师延山  李道本  范跃祖
作者单位:1. 北京航空航天大学 自动化科学与电气工程学院;
2. 北京邮电大学 信息科学与工程学院
摘    要:设计了一种蜂窝系统无线定位中使用的扩展卡尔曼滤波(EKF)算法,对其性能进行了仿真. 通过仿真结果分析,寻找出算法优化方法. 优化方法综合了到达时间(TOA)信号测量方差和雅可比矩阵计算出预测误差,然后对算法估计出的用户位置进行修正. 仿真结果显示,优化后定位估计性能比优化前的算法性能有显著改善.

关 键 词:无线电定位  时间计量  卡尔曼滤波  无直射
文章编号:1001-5965(2003)04-0308-04
收稿时间:2001-12-30
修稿时间:2001年12月30日

Optimization of Extended Kalman Filter for Cellular Mobile Location
Shi Yanshan,Li Daoben,Fan Yuezu.Optimization of Extended Kalman Filter for Cellular Mobile Location[J].Journal of Beijing University of Aeronautics and Astronautics,2003,29(4):308-311.
Authors:Shi Yanshan  Li Daoben  Fan Yuezu
Institution:1. School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics;
2. Information Science and Engineering School, Beijing University of Post and Telecommunication
Abstract:An extended Kalman filtering (EKF) algorithm is designed for radiolocation in cellular communication system, simulation is conducted to examine its performance. An improvement of the algorithm is then made, using predicative error obtained by variance of time of arrival (TOA) measures and the linear relation between the measurement and the state vectors revealed by the simulation results. The predicative error is used to adjust the estimation of mobile position achieved by the fore EKF algorithm. Finally, the location accuracy obtained from the improved EKF shows better performance than the fore one in simulations, even in the case of non light of sight (NLOS).
Keywords:radio location  time measurement  Kalman filtering  non line of sight
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