计算机应用 ›› 2021, Vol. 41 ›› Issue (3): 820-824.DOI: 10.11772/j.issn.1001-9081.2020060976

所属专题: 网络与通信

• 网络与通信 • 上一篇    下一篇

基于时间反演的到达时间定位

张齐林1,2, 李方伟1,2, 王明月1,2   

  1. 1. 重庆邮电大学 通信与信息工程学院, 重庆 400065;
    2. 移动通信技术重庆市重点实验室(重庆邮电大学), 重庆 400065
  • 收稿日期:2020-07-07 修回日期:2020-11-12 出版日期:2021-03-10 发布日期:2021-01-15
  • 通讯作者: 张齐林
  • 作者简介:张齐林(1994-),男,湖北荆州人,硕士研究生,主要研究方向:无线通信、室内定位;李方伟(1960-),男,重庆人,教授,博士,主要研究方向:无线通信、无线安全;王明月(1990-),女,重庆人,博士研究生,主要研究方向:信号检测、无线通信。
  • 基金资助:
    国家自然科学基金资助项目(61771084);重庆市研究生科研创新项目(CYS19250)。

Time of arrival positioning based on time reversal

ZHANG Qilin1,2, LI Fangwei1,2, WANG Mingyue1,2   

  1. 1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
    2. Chongqing Key Laboratory of Mobile Communications Technology(Chongqing University of Posts and Telecommunications), Chongqing 400065, China
  • Received:2020-07-07 Revised:2020-11-12 Online:2021-03-10 Published:2021-01-15
  • Supported by:
    This work is partially supported by the National Natural Science Foundation of China (61771084), the Chongqing Postgraduate Research and Innovation Program (CYS19250).

摘要: 针对传统算法在室内超宽带(UWB)到达时间(TOA)定位系统里很难准确搜寻出第一条直射路径,从而导致定位精度不高的问题,提出了基于时间反演(TR)的TOA室内UWB定位算法。首先,利用TR处理的空时聚焦特性确定第一条直射路径,从而估计这条路径的TOA;其次,通过加权最小二乘(WLS)定位算法对不同的估计分量赋予相应的权值以提高定位精度。仿真结果表明,相较传统TOA定位,所提方案在低信噪比条件下的均方根误差(RMSE)减小了28.6%,可见该方案有效提升了系统定位精度。

关键词: 超宽带定位系统, 到达时间定位, 时间反演, 加权最小二乘法, 均方根误差

Abstract: It is difficult for traditional algorithms to accurately find out the first direct path in indoor Ultra Wide Band (UWB) Time Of Arrival (TOA) positioning system, resulting in low positioning accuracy. In order to solve the problem, a TOA indoor UWB positioning algorithm based on Time Reversal (TR) was proposed. Firstly, the spatial-temporal focusing characteristic of TR processing was used to determine the first direct path, so as to estimate the TOA of this path. Then, the Weighted Least Squares (WLS) positioning algorithm was used to assign the corresponding weights to different estimation components for improving the positioning accuracy. The simulation results show that, compared with the traditional TOA positioning, the proposed scheme has the Root Mean Square Error (RMSE) reduced by 28.6% under the low signal-to-noise ratio condition. It can be seen that the proposed scheme improves the system positioning accuracy significantly.

Key words: Ultra Wide-Band (UWB) positioning system, Time Of Arrival (TOA) positioning, Time Reversal (TR), Weighted Least Squares (WLS) method, Root Mean Square Error (RMSE)

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