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

EasyChair Preprint 8309

Abstract

With the advancement of ship informatization, precise positioning has become a trend for indoor positioning of ships. In the complex ship indoor environment, UWB signals are easily blocked, refracted and reflected during propagation, resulting in degraded positioning accuracy and affecting the positioning effect. In this paper, we consider the influence of non-line-of-sight signals (NLOS) on UWB signals in the UWB ranging process, focus on the main causes of non-line-of-sight errors in the ranging process, identify line-of-sight signals (LOS) and non-line-of-sight signals (NLOS) using Gaussian mixture model unsupervised learning clustering method, study the least squares-based ranging error compensation algorithm using existing data samples, and conduct an experimental validation of the studied The experimental validation of the method is carried out. The experimental results show that the studied 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.

Keyphrases: Gaussian Mixture Model, NLOS error, Ultra Wide Band, indoor positioning of ships, least squares

@booklet{EasyChair:8309,
  author    = {Jinping Chen and Xiaofei Yang and Zhen Su and Zujun He and Qinlan Xue and Feilong Huang},
  title     = {A UWB-Based Method for Identification and Error Compensation of Non-Line-of-Sight Signals for Indoor Positioning of Ships},
  howpublished = {EasyChair Preprint 8309},
  year      = {EasyChair, 2022}}