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

Fuhu Che, Qasim Zeeshan Ahmed, Pavlos I. Lazaridis, Pradorn Sureephong, Temitope Alade

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
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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:
Original languageEnglish
Article number5710
Issue number12
Publication statusPublished - 19 Jun 2023


  • indoor positioning system
  • localization
  • machine learning
  • NLoS
  • UWB

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