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Research on the Balise Uplink Signal Process Method Based on the Noise Feature Extraction and Adaptive Noise Cancellation

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Proceedings of the 2013 International Conference on Electrical and Information Technologies for Rail Transportation (EITRT2013)-Volume II

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 288))

Abstract

In this paper, the Balise Uplink signal noise feature and noise process method are researched. The model of the transmission channel for Uplink signal is established, and the AR power spectrum model is used to extract the noise feature. Then an adaptive noise cancellation is proposed based on the noise feature extraction. This method improves the SNR of the Uplink signal, so that Balise Uplink signal transmission is more reliable.

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References

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Acknowledgments

This work was financially supported by the High-tech R&D project of The Ministry of Railways of the People’s Republic of China (Grant No. 2011 × 021-c). The authors acknowledge this support.

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Authors and Affiliations

  1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Room 811, Si Yuan Building, No.3 Shang Yuan Cun, 100044, Hai Dian District, Beijing, China

    Yanning Zhang & Huibing Zhao

Authors
  1. Yanning Zhang
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  2. Huibing Zhao
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Corresponding author

Correspondence to Yanning Zhang .

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Editors and Affiliations

  1. Beijing Jiaotong University, Beijing, China

    Limin Jia

  2. Beijing Jiaotong University, Beijing, China

    Zhigang Liu

  3. Beijing Jiaotong University, Beijing, China

    Yong Qin

  4. China CNR Changchun Railway Vehicles Co., Changchun, China

    Minghua Zhao

  5. Beijing Jiaotong University, Beijing, China

    Lijun Diao

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© 2014 Springer-Verlag Berlin Heidelberg

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Zhang, Y., Zhao, H. (2014). Research on the Balise Uplink Signal Process Method Based on the Noise Feature Extraction and Adaptive Noise Cancellation. In: Jia, L., Liu, Z., Qin, Y., Zhao, M., Diao, L. (eds) Proceedings of the 2013 International Conference on Electrical and Information Technologies for Rail Transportation (EITRT2013)-Volume II. Lecture Notes in Electrical Engineering, vol 288. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53751-6_50

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  • DOI: https://doi.org/10.1007/978-3-642-53751-6_50

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53750-9

  • Online ISBN: 978-3-642-53751-6

  • eBook Packages: EngineeringEngineering (R0)

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