• DocumentCode
    3321410
  • Title

    EMD-based signal denoising in EMP measurement system

  • Author

    Huang Zhengyu ; Shi Lihua ; Zhou Yinghui ; Ma Rupo

  • Author_Institution
    Nat. Key Lab. on Electromagn. Environ. Effects & Electro-Opt. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
  • Volume
    2
  • fYear
    2013
  • fDate
    16-19 Aug. 2013
  • Firstpage
    796
  • Lastpage
    801
  • Abstract
    To remove the interference of strong environmental noise, fiber-optic transmission system is usually used in the measurement of electromagnetic pulse (EMP). However, due to the thermo-noise in fiber optic emitting and receiving circuits, there are still some inevitable noise in the transmission system. This effect limits the use of the EMP measurement system in shielded enclosures. An improved signal denoising method based on empirical mode decomposition (EMD) to enhance the signal-to-noise ratio (SNR) in EMP measurement has been proposed. The method we proposed is validated through simulation and real EMP experiments data, and it, compared to other approach, has better stability in the case of signals with lower initial SNR (-2 to 5 dB). The dynamic range of fiber-optic transmission system raised about 20 dB.
  • Keywords
    electromagnetic interference; electromagnetic pulse; fibre optic sensors; signal denoising; EMD-based signal denoising; EMP measurement system; electromagnetic pulse; empirical mode decomposition; fiber-optic transmission system; signal-to-noise ratio; Dynamic range; Noise measurement; Noise reduction; Optical fiber sensors; Optical variables measurement; Signal to noise ratio; Electromagnetic Pulse (EMP); Empirical mode decomposition (EMD); denoising; fiber-optic transmission system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments (ICEMI), 2013 IEEE 11th International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-0757-1
  • Type

    conf

  • DOI
    10.1109/ICEMI.2013.6743127
  • Filename
    6743127