LIU Dong, WEN Yinghong, XIAO Jianjun. A Novel Approach for On-Site Measurement of Radiated Emission of EMU[J]. Chinese Journal of Electronics, 2020, 29(3): 574-579. doi: 10.1049/cje.2020.03.013
Citation: LIU Dong, WEN Yinghong, XIAO Jianjun. A Novel Approach for On-Site Measurement of Radiated Emission of EMU[J]. Chinese Journal of Electronics, 2020, 29(3): 574-579. doi: 10.1049/cje.2020.03.013

A Novel Approach for On-Site Measurement of Radiated Emission of EMU

doi: 10.1049/cje.2020.03.013
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 the Beijing Municipal Science & Technology Commission (No.Z181100001018032).
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  • Corresponding author: WEN Yinghong (corresponding author) received Ph.D. in 1998 from Beijing Jiaotong University. Now she is professor and doctoral supervisor in Beijing Jiaotong University. Her research interest focuses on electromagnetic compatibility technology. (E-mail:yhwen@bjtu.edu.cn)
  • Received Date: 2019-01-16
  • Rev Recd Date: 2019-11-22
  • Publish Date: 2020-05-10
  • The main problem in on-site radiated emission test of EMU (Electric multiple unit) is the excess ambient electromagnetic noise due to the complex electromagnetic environment. In order to solve this problem, this paper proposed a novel approach for on-site radiated emission measurement test. A joint algorithm comprise blind source separation and adaptive signal processing is used to suppress the ambient electromagnetic noise. The normalized estimation of ambient electromagnetic noise is obtained by blind source separation algorithm, then the normalized estimation of ambient electromagnetic noise is used as the reference signal to adaptively cancel the ambient noise in the mixed electromagnetic noise, so the estimation of radiated noise of EMU is obtained. The simulation and experiment results showed that the proposed method can effectively suppress the ambient electromagnetic noise, thus realize the accurate measurement of the radiated emission of the EMU.
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  • B. Widrow, J. R. Glover, J. M. Mccool, et al., “Adaptive noise cancelling: Principles and applications”, Proceedings of the IEEE, Vol.63, No.12, pp.1692-1716, 1975.
    M. A. Marino, “System and method for measuring RF radiated emissions in the presence of strong ambient signals”, Patent, US6980611B1, USA, 2005-12-27.
    A. Frech and P. Russer, “Real-time ambient noise cancellation for EMI measurements on open area test sites”, Proc. of 2012 Asia-Pacific Symposium on Electromagnetic Compatibility, Singapore, Singapore, 213-216, 2012.
    A. Frech, A. Zakaria, S. Braun, et al., “Ambient noise cancelation with a time-domain EMI measurement system using adaptive filtering”, Proc. of 2008 Asia-Pacific Sympsoium on Electromagnetic Compatibility, Singapore, Singapore, 534-537, 2008.
    Z. H. Lu, J. B. Liu and P. G. Liu, “A novel method of ambient interferences suppressing for in situ electromagnetic radiated emission test”, IEEE Transactions on Electromagnetic Compatibility, Vol.54, No.6, pp.1205-1215, 2012.
    C. Jutten and J. Herault, “Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture”, Signal Processing, Vol.24, No.1, pp.1-10, 1991.
    D. Liu, Y. H. Wen, S. Chen, et al., “A new method of onsite radiated emission measurement of train based on Blind Source Separation”, Proc. of 2015 International Conference on Electromagnetics in Advanced Applications (ICEAA), Turin, Italy, 678-681, 2015.
    X. F. Xu, C. D. Duan, L. J. Liu, et al., “Research on a new structural traits based complex-valued space joint diagonalization algorithm for blind source separation and its applications”, Acta Electronica Sinica, Vol.45, No.01, pp.29-36, 2017. (in Chinese)
    Z. X. Tao, L. Y. Lin and L. T. Zhuang, “Anti-jamming method by blindly extracting of direct sequence spread spectrum signal based on cyclostationary difference”, Acta Electronica Sinica, Vol.45, No.06, pp.1506-1512, 2017. (in Chinese)
    M. A. Azpurua, M. Pous and F. Silva, “Decomposition of electromagnetic interferences in the time-domain”, IEEE Transactions on Electromagnetic Compatibility, Vol.58, No.2, pp.385-392, 2016.
    S. G. Mallat and Z. F. Zhang, “Matching pursuits with time-frequency dictionaries”, IEEE Transactions on Signal Processing, Vol.41, No.12, pp.3397-3415, 1993.
    P. Comon, “Independent component analysis, a new concept?”, Signal Processing, Vol.36, No.3, pp.287-314, 1994.
    A. Hyvärinen, “The fixed-point algorithm and maximum likelihood estimation for independent component analysis”, Neural Processing Letters, Vol.10, No.1, pp.1-5, 1999.
    T. M. Cover and J. A. Thomas, Elements of Information Theory, John Wiley & Sons, Hoboken, USA, pp.640-645, 1991.
    A. Hyvarinen, “Fast and robust fixed-point algorithms for independent component analysis”, IEEE Transactions on Neural Networks, Vol.10, No.3, pp.626-634, 1999.
    M. Dentino, J. Mccool and B. Widrow, “Adaptive filtering in the frequency domain”, Proceeding of the IEEE, Vol.66, No.12, pp.1658-1659, 1978.
    G. A. Clark, S. K. Mitra and S. R. Parker, “Block implementation of adaptive digital filters”, IEEE Transactions on Circuits and Systems, Vol.28, No.6, pp.584, 1981.
    B. F. Boroujeny and K. S. Chan, “Analysis of the frequencydomain block lms algorithm”, IEEE Transactions on Signal Processing, Vol.48, No.8, pp.2332-2342, 2000.
    B. Audone and G. Trosini, “The use of adaptive filters in the suppression of interference on signal lines”, Proc. of 2008 International Symposium on Electromagnetic Compatibility, Hamburg, Germany, 1-6, 2008.
    F. Krug and P. Russer, “The time-domain electromagnetic interference measurement system”, IEEE Transactions on Electromagnetic Compatibility, Vol.45, No.2, pp.330-338, 2003.
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