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

Samuel Leitch, Qasim Ahmed, Waqas Bin Abbas, Maryam Hafeez, Pavlos Lazaridis, Pradorn Sureephong, Temitope Alade

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

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.
Original languageEnglish
Article number8598
Number of pages25
JournalSensors
Volume23
Issue number20
DOIs
Publication statusPublished - 20 Oct 2023

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