Qiao, Wenzheng (Beijing Jiaotong University), Wang, Jian (Beijing Jiaotong University), Lu, Debiao (Beijing Jiaotong University), Liu, Jiang (Beijing Jiaotong University), Cai, Baigen (Beijing Jiaotong University), Jiang, Wei (Beijing Jiaotong University)

Evaluation of Positioning Accuracy under Different Railway Environments with Multipath Signal Mitigation Method

Scheduled for presentation during the Invited Session "S16a-Control, Communication and Emerging Technologies in Smart Rail Systems" (TH-LM-T16), Thursday, November 20, 2025, 10:30−10:50, Southport 1

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 18, 2025

Abstract

The BDS (Beidou Satellite Navigation System) has been applied in the train control systems in several railway lines in China. The BDS has the advantage of providing maneuver positions either alone or in combination with other train-borne sensors. As train moves along the railway track, the train goes through different environments, as open area, viaduct, tunnels, urban canyon etc. In the BDS observation constrained environments, the multipath effect is the most significant issue affecting the positioning accuracy. How to effectively eliminate the multipath effect or even utilize it has become the current research focus. This paper proposes a signal classification method based on the comparison of satellite pseudorange and true range. The environmental data from the National Railway Test Center are used to perform ray identification tests on three scenarios: open space, urban canyon, and tunnel entrance. Taking the average positioning error and standard deviation as the standard, the positioning performance after eliminating multipath signals increased by 4.5% in open area, 27.7% in urban canyon areas, and decreased by 107.5% in tunnel entrance areas.