On indoor localization using WiFi, BLE, UWB, and IMU technologies

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Leitch, Samuel G., Ahmed, Qasim Zeeshan, Abbas, Waqas Bin, Hafeez, Maryam, Laziridis, Pavlos I., Sureephong, Pradorn and Alade, Temitope (2023) On indoor localization using WiFi, BLE, UWB, and IMU technologies. Sensors, 23 (20). ISSN 1424-8220

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	6g,ble,data fusion,imu,indoor localization,pdr,uwb,wi-fi,analytical chemistry,information systems,atomic and molecular physics, and optics,biochemistry,instrumentation,electrical and electronic engineering ,/dk/atira/pure/subjectarea/asjc/1600/1602
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Data Science and AI
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	22 Nov 2023 04:38
Last Modified:	21 Dec 2024 01:08
URI:	https://ueaeprints.uea.ac.uk/id/eprint/93710
DOI:	10.3390/s23208598

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