Research on a High-precision Indoor Positioning Algorithm based on UWB

With the shift of social change from a single dimension to multiple dimensions, people have also put forward higher requirements for the quality of navigation and positioning services. How to improve the quality of navigation and positioning services and meet people’s growing technological needs has become a major issue of concern for all sectors of society. Due to the small coverage distance indoors and the susceptibility to environmental changes, it is also prone to varying degrees of obstruction, and the closing or movement of indoor doors, furniture, and other objects can also have a certain impact on the signal. Therefore, this article attempts to conduct further research on high-precision indoor positioning algorithms based on UWB. The results show that the Root-mean-square deviation of UWB is relatively unstable, the maximum is 35 cm, and the minimum is 19 cm. The positioning effect of INS is significantly better than that of UWB, but there is still some deviation compared to the real trajectory. And over time, the degree of deviation between INS and the actual trajectory gradually increases. The trajectory effect of the UWB-INS combined positioning system is significantly better than that of a single positioning system, with a positioning accuracy of about 14cm. The long-term positioning effect is more stable and closer to the real trajectory.