Research on SINS/GNSS/Train-Speed Integrated Navigation Algorithm

Authors

Wang Ke, Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences, Shanghai 200050, China;
Ligang Liu, Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences, Shanghai 200050, China;
Bin Zhou, Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences, Shanghai 200050, China;
Zhiyong Bu, Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences, Shanghai 200050, China;

Abstract

Abstract: The precise train positioning under complicated railway environment has been a key technical challenge for train navigation currently. In the conventional solutions, in case of satellite signals being weak or indiscernible, the task of positioning has to be undertaken by SINS alone. This will cause some serious error-accumulation problems, especially when low-cost inertial devices are used. In order to solve this problem, we propose a novel integrated train navigation algorithm, which includes two working modes. The SINS/GNSS mode is designed for the situation that satellite signals are valid, whereas the SINS/wheel-speed mode is for the weak signal environments. Both simulation results and measured data show that the proposed algorithm can achieve a much higher accuracy, i.e., the maximum horizontal error is less than 5m in case that the satellite signals are frequently invalid for a short time (<90 s).

Recommended Citation

Ke, Wang; Liu, Ligang; Zhou, Bin; and Bu, Zhiyong (2021) "Research on SINS/GNSS/Train-Speed Integrated Navigation Algorithm," Journal of System Simulation: Vol. 33: Iss. 1, Article 20.
DOI: 10.16182/j.issn1004731x.joss.19-0188
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss1/20

First Page

189

Revised Date

2019-06-25

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-0188

Last Page

195

CLC

TN967.2;TP391.9

Recommended Citation

Wang Ke, Liu Ligang, Zhou Bin, Bu Zhiyong. Research on SINS/GNSS/Train-Speed Integrated Navigation Algorithm[J]. Journal of System Simulation, 2021, 33(1): 189-195.

DOI

10.16182/j.issn1004731x.joss.19-0188