周牧^{1, 2},
张振亚^{1, 2,,},
杨小龙^{1, 2},
谢良波^{1, 2},
田增山^{1, 2}
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 400065
基金项目:国家自然科学基金(61771083，61771209)，重庆市教委科学技术研究(KJQN201900603, KJZD-K202000605)，重庆市自然科学基金(cstc2020jcyj-msxmX0842)

详细信息

作者简介:周牧：男，1984年生，教授，博士生导师，主要研究方向为无线定位与导航技术、信号处理与检测技术、机器学习与信息融合技术等
张振亚：男，1993年生，硕士生，研究方向为室内定位技术、克拉美罗理论
杨小龙：男，1988年生，讲师，主要研究方向为室内入侵检测技术、高维信号处理、机器学习等
谢良波：男，1986年生，副教授，硕士生导师，主要研究方向为射频识别技术、室内定位技术、集成电路等
田增山：男，1968年生，教授，博士生导师，主要研究方向为移动通信、个人通信、GPS与蜂窝网定位技术等

通讯作者:张振亚　zhenya_cqupt@foxmail.com

中图分类号:TN911.23

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出版历程

收稿日期:2020-03-24
修回日期:2021-01-25
网络出版日期:2021-02-04
刊出日期:2021-09-16

Wi-Fi Indoor Localization Error Bound Analysis Method Based on Channel State Information Ranging

Mu ZHOU^{1, 2},
Zhenya ZHANG^{1, 2,,},
Xiaolong YANG^{1, 2},
Liangbo XIE^{1, 2},
Zengshan TIAN^{1, 2}
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
Funds:The National Natural Science Foundation of China (61771083, 61771209), The Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN201900603, KJZD-K202000605), Chongqing Natural Science Foundation Project (cstc2020jcyj-msxmX0842)


摘要
摘要:相较常用于室内定位的Wi-Fi接收信号强度(RSS)，Wi-Fi信道状态信息(CSI)包含了信号传输过程中更细粒度的物理层信息(如各个子载波的幅值和相位)，故可将其用于较精确的测距以实现较高的Wi-Fi室内定位精度。由于现有基于CSI测距的定位方法普遍缺少关于定位误差界的理论分析，从而导致难以对不同定位方法的理想性能进行比较。因此，该文提出一种基于CSI测距的Wi-Fi室内定位误差界分析方法，其在室内信号传播模型的基础上，考虑路径损耗、阴影衰落和多径效应与定位精度的关系，利用克拉美罗下界(CRLB)推导了时钟异步效应下基于CSI测距的定位误差界。此外，通过实验对比，分析了实际定位误差与所推导的定位误差界之间的差异，并讨论了不同实验参数对定位性能的影响。
关键词:室内定位/
信道状态信息/
Wi-Fi/
定位误差界/
测距
Abstract:Compared with the Wi-Fi Received Signal Strength (RSS) commonly-used for the indoor localization, the Channel State Information (CSI) can be used for the precise ranging to achieve the high Wi-Fi indoor localization accuracy since it includes the fine-grained physical-layer information such as the amplitude and phase of each subcarrier during the signal transmission. Due to the lack of theoretical analysis of the localization error bound in existing CSI ranging-based localization methods, it is difficult to compare the ideal performance of different localization methods. Therefore, a CSI ranging-based Wi-Fi indoor localization error bound analysis method is proposed, which is based on the indoor signal propagation model to derive out the CSI ranging-based localization error bound with the clock asynchronous effect by considering the relationship between the localization accuracy and the path loss, shadow fading, and multipath effect. Besides, through the experimental comparison, this paper analyzes the difference between the actual localization error and the derived localization error bound, as well as discusses the impact of different experimental parameters on the localization performance.
Key words:Indoor localization/
Channel State Information (CSI)/
Wi-Fi/
Localization error bound/
Ranging



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