Algorithm for Autonomous Train Location in Railway Station Based on GNSS

被引：0
|
作者：
Liu Z. [1 ]
Qi Z. [2 ]
Chai M. [1 ,3 ]
Wang H. [1 ,3 ]
机构：
[1] School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing
[2] Signal & Communication Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing
[3] National Engineering Research Center of Rail Transportation Operation and Control System, Beijing Jiaotong University, Beijing
来源：
Tiedao Xuebao/Journal of the China Railway Society | 2023年 / 45卷 / 09期
关键词：
autonomous train positioning; Global Navigation Satellite System; initial positioning of trains; tracking and positioning of trains; train control system;
D O I：
10.3969/j.issn.1001-8360.2023.09.009
中图分类号：
学科分类号：
摘要：
Accurate autonomous positioning of trains is a key technology in the process of train operation protection. A Bayesian estimation algorithm was proposed based on Global Navigation Satellite System (GNSS) considering the transfer of track occupancy state. The sections that may be occupied by the train were put into the alternative set, which was continuously updated, evaluated and selected. In the static initial positioning process, the maximum likelihood estimation algorithm was used to calculate the most likely position of the train in the section. In the process of tracking and positioning, the Kalman filter algorithm was used to fuse GNSS and velocity sensors to achieve precise positioning. The results of GNSS data analysis on the actual train operation show that the accuracy of occupied track recognition is 100% in the static initial positioning process. In the process of tracking and positioning, the recognition rate of occupied track is 100%, with the average error of 0. 76 m. This method, meeting the application requirements of train operation protection, has reference significance for the application of satellite navigation and positioning in railways. © 2023 Science Press. All rights reserved.
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页码：85 / 93
页数：8
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