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 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.

Automated summary

This paper proposes an indoor positioning system using UWB technology and digital twin, which improves the positioning accuracy through perception-prediction feedback. In addition, an anchor layout method with virtuality-reality interaction and an error mitigation method based on neural networks are introduced in this system.