GENG Qi, WEN Yinghong, LIU Shanghe, ZHANG Dan. A VMD Based Improved De-noising of Onboard BTM Receiving Signal[J]. Chinese Journal of Electronics, 2020, 29(1): 66-72. doi: 10.1049/cje.2019.10.001
Citation: GENG Qi, WEN Yinghong, LIU Shanghe, ZHANG Dan. A VMD Based Improved De-noising of Onboard BTM Receiving Signal[J]. Chinese Journal of Electronics, 2020, 29(1): 66-72. doi: 10.1049/cje.2019.10.001

A VMD Based Improved De-noising of Onboard BTM Receiving Signal

doi: 10.1049/cje.2019.10.001
Funds:  This work is supported by the National Natural Science Foundation of China (No.U1734203), the National Natural Science Foundation of China (No.61631013), and Beijing Municipal Science & Technology Commission (No.Z181100001018032).
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  • Corresponding author: ZHANG Dan (corresponding author) was born in 1985. She received the B.S. and Ph.D. degree from Beijing Jiaotong University, Beijing, China, in 2008 and 2017. She is currently a lecturer in Beijing Jiaotong University. Her research interests include EMC in transportation system, crosstalk, and method of moments. (
  • Received Date: 2019-04-04
  • Rev Recd Date: 2019-06-13
  • Publish Date: 2020-01-10
  • As a key equipment of the high-speed Electric multiple unit (EMU), the Balise transmission module (BTM) is tend to be affected by electromagnetic disturbances. However, the existing filter can not well eliminate electromagnetic disturbances. In order to improve the Signal to noise ratio (SNR) of BTM uplink signal, Variational mode decomposition (VMD) method is introduced into de-noising the uplink signal polluted by disturbance. The proposed de-noising method decomposes the noise-polluted signal into several narrow band subsignals. And then, the de-noised BTM transmitting signal is reconstructed by the sub-signals of the same frequency as the BTM carrier. To improve the accuracy of the VMD based signal decomposition, the Normalized short time fourier transform-Wigner ville distribution (NSTFTWVD) method are applied to determine the decomposition mode number of the target signal. The proposed method is used to deal with both simulation signal and measured BTM uplink signal. Results demonstrated good improvement in SNR by 20dB and 12.63dB, respectively.
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  • Y.H. Wen and J.B. Zhang, "Statistical analysis on EMI to vehicular signaling system in CRH", Proc. of International Conference on Electromagnetics in Advanced Applications (ICEAA), Cairns, QLD, pp.541-545, 2016.
    M.R. Kousri, V. Deniau, M. Heddebaut, et al., "Evaluation of the impact of transient disturbances on railway signaling systems using an adapted time-frequency analysis method". International Journal of Electronics and Telecommunications, Vol.63, No.4, pp.347-354, 2017.
    T. Hammi, V. Deniau, H. Ouaddi, et al., "Characterisation by time-frequency analysis of the em disturbances produced by railway substations", Proc. of 9th International Symposium on EMC and 20th International Wroclaw Symposium on EMC, Poland, pp.826-831, 2010.
    I. Adin, J. Mendizabal, S. Arrizabalaga, et al., "Rolling stock emission testing methodology assessment for balise transmission module system interoperability". Measurement, Vol.77, pp.124-131, 2016.
    M. Pous and F. Silva, "Full-spectrum and measurement of transient interferences in time domain", IEEE Transactions on Electromagnetic Compatibility, Vol.56, No.6, pp.1352-1360, 2014.
    R.F. Wang and H.Y. Zhang, "Study on detection method of 2FSK signal based on duffing oscillator", Journal of the China Railway Society, Vol.35, No.7, pp.63-67, 2013. (in Chinese)
    S. Nishimura and M. Aloys, "A lattice-based adaptive IIR notch filter and its application to FSK demodulation", Proc. of IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century, Geneva, Switzerland. Vol.3, pp.586-589, 2000.
    C.Y. Lin, G.Y. Zhang, Y.D. Li, et al., "A demodulation algorithm for MFSK signals based on cyclic spectrum and wavelet transform". Science Technology and Engineering, Vol.13, No.28, pp.8293-8298, 2013. (in Chinese)
    Y.Y. Qi and M. Yu. "Anti-jamming method for frequency hopping communication based on single channel BSS and EMD". Computer Science, Vol.43, No.1, pp.149-153, 2016. (in Chinese)
    Z.J. Zhao, T. Yin, D.W. Guo, et al., "A method to identify digital modulation signals based on the hilbert-huang transform". Journal of Microwaves, Vol.22, No.3, pp.66-70, 2006. (in Chinese)
    D.L. Kone, R.F. Wang and C.F. Bao. "The application of NLMS algorithm in the track circuit signal demodulation". Science Technology and Engineering, Vol.14, No.4, pp.61-65, 2014. (in Chinese)
    K. Dragomiretskiy and D. Zosso. "Variational mode decomposition". IEEE Transactions on Signal Processing, Vol.62, No.3, pp.531-544, 2014.
    Y.X. Wang and R. Markert. "Filter bank property of variational mode decomposition and its applications", Signal Processing, Vol.120, pp.509-521, 2016.
    P.D. Achlerkar, S.R. Samantaray and M. Sabarimalai Manikandan, "Variational mode decomposition and decision tree based detection and classification of power quality disturbances in grid-connected distributed generation system", IEEE Transactions on Smart Grid, Vol.9, No.4, pp.3122-3132, 2018.
    Y.H. Guo and J.B. Zhang. "Analysis of electromagnetic compatibility of EMU onboard BTM equipment", Journal of the China Railway Society, Vol.38, No.11, pp.75-79, 2016. (in Chinese)
    W.X. Wu, Z.J. Wang, J.P. Zhang, et al., "Research of the method of determining k value in VMD based on kurtosis", Mechanical transmission, Vol.42, No.8, pp.153-157, 2018. (in Chinese)
    S.M. Liu, S.Li, C. Tan, et al., "Spectral analysis method of VFTO Based on NSTFT-WVD transform", Journal of North China Electric Power University, Vol.45, No.5, pp.52-61, 2018. (in Chinese)
    X. Tang, Z.F. Ma, X.X. Niu, et al., "Robust audio watermarking algorithm based on empirical mode decomposition". Chinese Journal of Electronics, Vol.25, No.6, pp.1005-1010, 2016.
    H.Y. Xing and Q.Q. Zhu, "The sea clutter de-noising based on ensemble empirical mode decomposition", Acta Electronica Sinica, Vol.44, No.1, pp.1-7, 2016(in Chinese)
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