School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China.
Sensors (Basel). 2022 Aug 9;22(16):5936. doi: 10.3390/s22165936.
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.
超宽带(UWB)技术用于室内定位,但由于非视距(NLOS),其定位精度通常会受到室内环境中各种障碍物的影响。针对复杂多变的室内环境,本文提出了一种基于数字孪生的 UWB 室内定位系统。该室内定位系统通过对信息物理空间的感知-预测-反馈,提高了室内定位精度。此外,该系统还提出了一种具有虚实交互的锚布局方法和一种基于神经网络的误差缓解方法。最后,通过一个案例研究验证了该室内定位系统,定位精度得到了显著提高。