北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2021, Vol. 44 ›› Issue (4): 19-25.doi: 10.13190/j.jbupt.2020-253

• 论文 • 上一篇    下一篇

基于载波相位差值的室内Wi-Fi定位方法

何维, 岳紫颖, 周牧, 田增山   

  1. 重庆邮电大学 通信与信息工程学院, 重庆 400065
  • 收稿日期:2020-11-22 发布日期:2021-07-13
  • 通讯作者: 岳紫颖(1996-),女,硕士生,E-mail:2107177769@qq.com. E-mail:2107177769@qq.com
  • 作者简介:何维(1980-),男,副教授.
  • 基金资助:
    国家自然科学基金项目(E020B2017036);重庆市研究生科研创新项目(CYS19253)

Indoor Wi-Fi Localization Method Based on Carrier Phase Difference

HE Wei, YUE Zi-ying, ZHOU Mu, TIAN Zeng-shan   

  1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:2020-11-22 Published:2021-07-13

摘要: 到达角(AoA)的角度分辨力低,导致基于信道状态信息(CSI)的AoA定位精度难以突破亚米级.为了提升定位精度,提出了一种基于载波相位差值的室内Wi-Fi高精度定位方法.首先,提取CSI中心频点子载波的相位信息和直视路径的信号飞行时间,通过虚拟参考点构建载波相位差分定位模型,实现目标初始定位;然后,结合目标初始定位位置,采用虚拟基线约束的方法实现整周模糊求解;最后,提出基于扩展卡尔曼滤波的载波相位定位优化算法,得到目标精确位置.此外,通过实验对比了直线和任意路径下的动态定位结果,所提定位方法的中值定位误差在0.25 m以内,具有更高的准确性和可靠性.

关键词: 室内定位, 载波相位信息, Wi-Fi, 虚拟基线约束, 整周模糊

Abstract: Due to the low angular resolution of angle of arrival (AoA), it is challenging for the AoA localization algorithm based on channel state information (CSI) to achieve sub-meter level localization accuracy. To improve the localization accuracy, a precise indoor Wi-Fi localization method based on carrier phase difference is proposed. First, the center frequency carrier phase of CSI and time of flight in line of sight path are extracted, and the carrier phase difference localization model is constructed with virtual reference point, thus achieving the initial target localization.Then, combining the initial localization result of the target, the integer ambiguity solution is realized by using the virtual baseline constraint. Finally, the carrier phase localization optimization algorithm based on the extended Kalman filter is proposed to obtain the precise location of the target. Experimental results for straight lines and arbitrary paths show that the median localization error of the proposed method is within 0.25 m, which is more accurate and reliable than the baseline method.

Key words: indoor localization, carrier phase information, Wi-Fi, virtual baseline constraint, integer ambiguity

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