A Robust Seamless Localization Framework Based on Wi-Fi FTM/GNSS and Built-In Sensors

被引：16
|
作者：
Yu, Yue [1 ]
Chen, Ruizhi [1 ]
Chen, Liang [1 ]
Li, Wei [1 ]
Wu, Yuan [1 ]
Zhou, Haitao [1 ]
机构：
[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430000, Peoples R China
来源：
IEEE COMMUNICATIONS LETTERS | 2021年 / 25卷 / 07期
关键词：
Wireless fidelity; Magnetometers; Global navigation satellite system; Location awareness; Sensors; Signal to noise ratio; Magnetic fields; Seamless localization; GNSS; Wi-Fi Fine Time Measurement; built-in sensors; extended Kalman filter;
D O I：
10.1109/LCOMM.2021.3071412
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Global Navigation Satellite System (GNSS) has been widely applied for outdoor localization while it is still challenging to realize seamless positioning due to the limited coverage of accurate indoor location sources. This letter proposes a robust seamless localization framework using the combination of GNSS, Wi-Fi Fine Time Measurement and built-in sensors (SL-GWBS). Pedestrian dead reckoning and magnetic detection are used to decrease the cumulative error of inertial navigation system for accurate heading and speed estimation, and an adaptive multi-model based extended Kalman filter is adopted to realize concrete localization towards different integration methods of location sources. The experimental results demonstrate the meter-level accuracy of the proposed SL-GWBS.
引用
收藏
页码：2226 / 2230
页数：5
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