A Novel Positioning Optimization Approach Towards UWB

This paper studies the optimization algorithm for Ultra Wide Band(UWB) high-precision positioning technology. By observing and analyzing the characteristics of the measurement data set in the real experimental scene, we study the data fluctuation characteristics under signal interference, and make it clear that the UWB precise positioning problem under signal interference belongs to a typical error optimization problem. To solve this problem, we first use an anomaly detection algorithm and clustering algorithm to clean the experimental data set and retain more effective data features. For the optimization algorithm of precise positioning, our innovation is to give priority to the study of the spatial coordinate conversion formula with more physical meaning and the numerical distribution characteristics of various offset differences, and establish an optimization algorithm to achieve centimeter accuracy by using only one offset to correct the original distance.