Indoor Positioning System with UWB Based on a Digital Twin

Ultra-wideband (UWB) technology is used for indoor positioning, but its positioning accuracy is usually degenerated by various obstacles in the indoor environment because of non-line-of-sight (NLOS). Facing the complex and changeable indoor environment, an indoor positioning system with UWB based on...

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Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 22; no. 16; p. 5936
Main Authors Lou, Ping, Zhao, Qi, Zhang, Xiaomei, Li, Da, Hu, Jiwei
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.08.2022
MDPI
Subjects
Accuracy
Algorithms
Deep learning
digital twin
Digital twins
Indoor environments
indoor positioning system (IPS)
Neural networks
NLOS error
Technology application
ultra-wideband (UWB)
Ultrawideband
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Summary:Ultra-wideband (UWB) technology is used for indoor positioning, but its positioning accuracy is usually degenerated by various obstacles in the indoor environment because of non-line-of-sight (NLOS). Facing the complex and changeable indoor environment, an indoor positioning system with UWB based on a digital twin is presented in this paper. The indoor positioning accuracy is improved with a perception–prediction feedback of cyber-physics space in this indoor positioning system. In addition, an anchor layout method with virtuality–reality interaction and an error mitigation method based on neural networks is put forward in this system. Finally, a case study is presented to validate this indoor positioning system with a significant improvement in positioning accuracy.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s22165936