无线定位扩展卡尔曼滤波算法的优化

师延山; 李道本; 范跃祖

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名

邮箱

手机号码

标题

留言内容

验证码

无线定位扩展卡尔曼滤波算法的优化

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

详细信息

作者简介:
师延山(1973-),男,吉林白山人,博士生,100083,北京.

中图分类号: TN 966.4
计量
- 文章访问数: 3106
- HTML全文浏览量: 51
- PDF下载量: 1601
- 被引次数: 0
出版历程
- 收稿日期: 2001-12-30
- 网络出版日期: 2003-04-30

Optimization of Extended Kalman Filter for Cellular Mobile Location

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

摘要

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.
- 无线电定位 /
- 时间计量 /
- 卡尔曼滤波 /
- 无直射
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).
- radio location /
- time measurement /
- Kalman filtering /
- non line of sight

HTML全文

参考文献(1)

[1] Caffery J J, Stuber G L. Overview of radiolocation in CDMA cellulay systems . IEEE Communications Magazine, 1998, 36(4):38~45 [2] Caffery J J. Wireless location in CDMA cellular radio systems[M]. Norwell:Kluwer Academic Publishers, 1999. 123~139 [3] Najar M, Vidal J, Kjellstrom A. Kalman tracking for UMTS mobile location, barcelona . IST Mobile Summit 2001 . Spain, 2001.250~255

施引文献

资源附件(0)

访问统计