Indoor Positioning System (IPS) Using Ultra-Wide Bandwidth (UWB)—For Industrial Internet of Things (IIoT)

Fuhu Che, Qasim Ahmed, Pavlos Lazaridis, Pradorn Sureephong, Temitope Alade

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

The integration of the physical and digital world has become increasingly important, and location-based services have become the most sought-after application in the field of the Internet of Things (IoT). This paper delves into the current research on ultra-wideband (UWB) indoor positioning systems (IPS). It begins by examining the most common wireless communication-based technologies for IPSs followed by a detailed explanation of UWB. Then, it presents an overview of the unique characteristics of UWB technology and the challenges still faced by the IPS implementation. Finally, the paper evaluates the advantages and limitations of using machine learning algorithms for UWB IPS.
Original languageEnglish
Article number5710
Number of pages29
JournalSensors
Volume23
Issue number12
DOIs
Publication statusPublished - 19 Jun 2023

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