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

Che, Fuhu, Ahmed, Qasim Zeeshan, Lazaridis, Pavlos I., Sureephong, Pradorn and Alade, Temitope (2023) Indoor Positioning System (IPS) using Ultra-Wide Bandwidth (UWB)—for Industrial Internet of Things (IIoT). Sensors, 23 (12). ISSN 1424-8220

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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.# Corrected: 10 October 2023: https://doi.org/10.3390/s23208360

Item Type: Article
Additional Information: An erratum is available for this article: DOI: 10.3390/s23208360 Funding Information: Part of this work is supported by the European Union through the Horizon 2020 Marie Skłlodowska-Curie Research and Innovation Staff Exchange Programme “Research Collaboration and Mobility for Beyond 5G Future Wireless Networks (RECOMBINE)” under Grant 872857.
Uncontrolled Keywords: indoor positioning system,localization,machine learning,nlos,uwb,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
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Depositing User: LivePure Connector
Date Deposited: 22 Nov 2023 04:38
Last Modified: 24 Jan 2024 01:34
URI: https://ueaeprints.uea.ac.uk/id/eprint/93711
DOI: 10.3390/s23125710

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