• DocumentCode
    3080859
  • Title

    Research on Noise-Eliminating Method for Large Structure Vibration Signals Based on the Prony Algorithm

  • Author

    Guang, Tian ; Gui-Bo, Yu ; Ya-Fei, Ma ; Li-Wei, Tang ; Hai-Qi, Zheng

  • Author_Institution
    Dept. of Guns Eng., Ordnance Eng. Coll., Shijiazhuang, China
  • fYear
    2010
  • fDate
    17-19 Sept. 2010
  • Firstpage
    521
  • Lastpage
    524
  • Abstract
    Based on the purpose of eliminating the background noise from the large structure vibration response signals which generated by hammer excitation, through analyzing the reason of background noise and the features of vibration signals, a noise eliminating method based on Prony algorithm is presented. Firstly, using the summation of a set of cosine attenuation signals to fit the original signal, compute the parameters of cosine attenuation signals, then identified the background noise and constructed its expression, and eliminated it at last. In this paper, through the processing of the simulation signals and practical signals by using the traditional Prony algorithm and improved Prony algorithm separately, the effectivity of the two algorithms are verified. And the comparison results of the two algorithms shows that the improved Prony algorithm is more effective.
  • Keywords
    interference suppression; signal denoising; vibrations; Prony algorithm; hammer excitation; large structure vibration signal; noise elimination method; Algorithm design and analysis; Analytical models; Attenuation; Computational modeling; Fitting; Noise; Noise measurement; Prony algorithm; background noise; fitting; hammer excitation; noise-eliminating;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-8043-2
  • Electronic_ISBN
    978-0-7695-4180-8
  • Type

    conf

  • DOI
    10.1109/PCSPA.2010.131
  • Filename
    5635532