A UWB-based Method for Identification and Error Compensation of Non-Line-of-Sight Signals for Indoor Positioning of Ships

With the advancement of ship informatization, precise positioning has become a trend for indoor positioning of ships. In the complex indoor environment of ships, UWB signals are easy to be blocked, refracted and reflected in the process of propagation, which leads to the decline of positioning accuracy and affects the positioning effect. In this paper, the influence of non-line of sight (NLOS) signals on UWB signals in UWB ranging process is considered, and the main causes of NLOS errors in ranging process are emphatically analyzed. Gaussian Mixture Model (GMM) is used to identify LOS signals and NLOS signals. Using existing data samples, the ranging error compensation algorithm based on the Least Square Method is studied, and the method studied is experimentally verified. The experimental results show that the proposed method can significantly improve the ranging accuracy of UWB in practical applications, and the ranging error is reduced by 61.91% compared with the traditional ranging algorithm.