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计算机工程 ›› 2013, Vol. 39 ›› Issue (7): 119-122. doi: 10.3969/j.issn.1000-3428.2013.07.027

• 移动互联与通信技术 • 上一篇    下一篇

一种抑制非视距传播误差的混合定位算法

徐英凯1,曹 洁1,陈晓群2   

  1. (1. 兰州理工大学计算机与通信学院,兰州 730050;2. 上海良相智能化工程有限公司,上海 201100)
  • 收稿日期:2012-06-28 出版日期:2013-07-15 发布日期:2013-07-12
  • 作者简介:徐英凯(1983-),男,硕士研究生,主研方向:蜂窝网通信,数字信号处理;曹 洁,教授;陈晓群,高级工程师

A Hybrid Location Algorithm with Non-line of Sight Transmission Error Mitigation

XU Ying-kai 1, CAO Jie 1, CHEN Xiao-qun 2   

  1. (1. College of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China; 2. Shanghai Liangxiang Intelligent Engineering Co., Ltd., Shanghai 201100, China)
  • Received:2012-06-28 Online:2013-07-15 Published:2013-07-12

摘要: 为减小蜂窝网定位中影响定位精度的非视距(NLOS)传播误差,提出一种基于两步卡尔曼滤波到达时间差/到达角度的混合定位算法。利用卡尔曼滤波器的估计值计算非视距数据的方差,调节卡尔曼滤波器的参数,减小测量值的NLOS误差,并将经过预处理的测量值输入到扩展卡尔曼滤波器,实现混合定位。实验结果表明,该算法能有效消除NLOS误差,与Chan算法相比,其定位精度更高。

关键词: 无线定位, 卡尔曼滤波器, 非视距传播, 到达时间差, 混合定位, 到达角

Abstract: The Non-line of Sight(NLOS) transmission error is the main difficulty for mobile user location in cellular wireless communication system. So a novel Time Difference of Arrival(TDOA)/Angle of Arrival(AOA) wireless position scheme based on the two step Kalman filter is proposed. The estimate of the Kalman filter is used to calculate the variance of NLOS, and it adjusts the Kalman filter parameters and mitigate the NLOS error of measurement. These preprocessed measurements are input to the hybrid location estimator implemented by Extended Kalman Filter(EKF). Experimental results show that this algorithm can mitigate the NLOS error, and compared with Chan algorithm, it can improve the positioning accuracy.

Key words: wireless position, Kalman filter, Non-line of Sight(NLOS) transmission, Time Difference of Arrival(TDOA), hybrid location, Angle of Arrival(AOA)

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