On Indoor Localization Using WiFi, BLE, UWB, and IMU Technologies

被引：31

作者：

Leitch, Samuel G. ^{[1
]}

Ahmed, Qasim Zeeshan ^{[1
]}

Abbas, Waqas Bin ^{[2
]}

Hafeez, Maryam ^{[1
]}

Laziridis, Pavlos I. ^{[1
]}

Sureephong, Pradorn ^{[3
]}

Alade, Temitope ^{[4
]}

机构：

[1] Univ Huddersfield, Dept Comp & Engn, Huddersfield HD1 3DH, England

[2] Univ Bristol, Dept Elect & Elect Engn, Bristol BS8 1QU, England

[3] Chiang Mai Univ, Coll Arts Media & Technol, Chiang Mai 50200, Thailand

[4] Nottingham Trent Univ, Sch Sci & Technol, Dept Comp Sci, Nottingham NG11 8NS, England

来源：

SENSORS | 2023年 / 23卷 / 20期

基金：

英国工程与自然科学研究理事会;

关键词：

6G; BLE; data fusion; indoor localization; IMU; PDR; UWB; wi-fi; POSITIONING SYSTEMS; RSSI FINGERPRINTS; MACHINE; FUSION; FRAMEWORK; CHANNEL; RECOGNITION; CONSTRAINTS; WAREHOUSES; NAVIGATION;

D O I：

10.3390/s23208598

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Indoor localization is a key research area and has been stated as a major goal for Sixth Generation (6G) communications. Indoor localization faces many challenges, such as harsh wireless propagation channels, cluttered and dynamic environments, non-line-of-sight conditions, etc. There are various technologies that can be applied to address these issues. In this paper, four major technologies for implementing an indoor localization system are reviewed: Wireless Fidelity (Wi-Fi), Ultra-Wide Bandwidth Radio (UWB), Bluetooth Low Energy (BLE), and Inertial Measurement Units (IMU). Sections on Data Fusion (DF) and Machine Learning (ML) have been included as well due to their key role in Indoor Positioning Systems (IPS). These technologies have been categorized based on the techniques that they employ and the associated errors in localization. A brief comparison between these technologies is made based on specific performance metrics. Finally, the limitations of these techniques are identified to aid future research.

引用

页数：25

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