Is Centimeter Accuracy Achievable for LTE-CSI Fingerprint-Based Indoor Positioning?

被引：6
|
作者：
Wang, Yanzhao [1 ]
Han, Shengqian [1 ]
Tian, Yafei [1 ]
Xiu, Chundi [1 ]
Yang, Dongkai [1 ]
机构：
[1] Beihang Univ BUAA, Sch Elect & Informat Engn, Beijing 100191, Peoples R China
来源：
IEEE ACCESS | 2020年 / 8卷
关键词：
Long Term Evolution; Phase distortion; Channel estimation; Wireless fidelity; OFDM; Fingerprint recognition; Machine learning algorithms; Indoor positioning; fingerprinting; channel state information (CSI); LTE;
D O I：
10.1109/ACCESS.2020.2988387
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Channel state information (CSI) fingerprint based indoor positioning has been extensively studied. While centimeter-level positioning accuracy has been demonstrated for Wi-Fi systems, only meter-level accuracy was reported for Long-term Evolution (LTE) systems. To investigate whether the centimeter accuracy is achievable or not for LTE systems, we examine the factors that affect the positioning accuracy to guide the implementation of a LTE-CSI fingerprinting system, where a novel phase compensation method is proposed to improve the CSI quality. We demonstrate for the first time that the centimeter-level positioning accuracy is achievable for LTE systems through extensive experiments.
引用
收藏
页码：75249 / 75255
页数：7
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