Abstract
The traditional train integrity monitoring (TIM) is realized by the wayside equipment like track circuit. However, its shortcomings in high setup and maintenance costs limit further development. In this paper, a novel TIM method based on Global Navigation Satellite System (GNSS) moving baseline is proposed. In this method, the double-difference (DD) algorithm is applied to mitigate the GNSS propagation errors and clock biases to improve the accuracy. Then the DD carrier phase is input as measurement to Kalman filter, which is used to dynamically estimate the length of moving baseline. In order to evaluate the performance of proposed method, a real experiment was conducted on Beijing-Shenyang high-speed railway. The experimental results show that the length difference between the calculated moving baseline and the reference is less than 1.5 m in both scenarios, which further prove the effectiveness of the proposed TIM method.
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Acknowledgements
This work was supported in part by the Beijing Natural Science Foundation under Grant 4184096 and the National Natural Science Foundation of China under Grant 61703034.
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Jiang, W., Liu, Y., Liu, D., Cai, B., Wang, J. (2020). A Train Integrity Monitoring Method Based on GNSS Moving Baseline Resolution. In: Wang, R., Chen, Z., Zhang, W., Zhu, Q. (eds) Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019). Lecture Notes in Electrical Engineering, vol 582. Springer, Singapore. https://doi.org/10.1007/978-981-15-0474-7_61
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DOI: https://doi.org/10.1007/978-981-15-0474-7_61
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