Fusion of 5G Carrier Phase Ranging and 5G CSI Fingerprinting for Indoor Positioning

被引：0
|
作者：
Li, Xiaobo [1 ]
Chen, Liang [1 ]
Zhou, Xin [1 ]
Ruan, Yanlin [1 ]
Liu, Zhaoliang [1 ]
机构：
[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Peoples R China
来源：
2022 14TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING, WCSP | 2022年
基金：
中国国家自然科学基金;
关键词：
5G New Radio (NR); Carrier Phase Ranging; CSI Fingerprinting; Indoor Positioning; Extended Kalman Filter; DVB-T SIGNALS; FAR-FIELD; LOCALIZATION;
D O I：
10.1109/WCSP55476.2022.10039441
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
With the commercialization of 5G, the wireless indoor positioning techniques based on 5G NR has developed rapidly. However, limited by the distribution density of base stations, 5G-based indoor positioning methods are not perfect. Based on the existing 5G carrier phase ranging and 5G CSI fingerprint positioning methods, this paper proposes an EKF-based indoor fusion positioning algorithm. The problem of low positioning accuracy of a single base station is solved. The simulation results demonstrate the positioning accuracy reaches 2.015m.
引用
收藏
页码：450 / 454
页数：5
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