• DocumentCode
    231406
  • Title

    Fractional stochastic resonance of multi-frequency weak periodic signals in alpha-stable noisy environment

  • Author

    Zheng Yongjun ; Wang Fei ; Li He

  • Author_Institution
    Coll. of Metrol. & Meas. Eng., China Jiliang Univ., Hangzhou, China
  • fYear
    2014
  • fDate
    19-23 Oct. 2014
  • Firstpage
    133
  • Lastpage
    138
  • Abstract
    This paper studies the stochastic resonance (SR) phenomenon generated by the multi-frequency weak periodic signals on the bistable fractional system in α - stable noisy environment. The influence to the output signal are analyzed by the structural parameters a, b of bistable system, the intensity D of α - stable noise as well as the fractional order p individually while the other parameters kept unchanged. The numerical simulation results show that the fractional order p can enhance the SR by analyzing the power spectrum of output signal. The characteristic index Average Signal-to-noise ratio (SNR) Gain is used to reflect the influence to the SR by changing the structural parameters a, b of bistable system and the intensity D of α - stable noise. Both curves are non-monotonic when one of the parameters is changed, it increases then decreases.
  • Keywords
    resonance; signal detection; stochastic processes; SNR gain; alpha-stable noisy environment; bistable fractional system; characteristic index average signal-to-noise ratio gain; multifrequency weak periodic signals; numerical simulation; output signal; power spectrum; stochastic resonance phenomenon; structural parameters; Frequency-domain analysis; Noise measurement; Nonlinear systems; Signal to noise ratio; Structural engineering; Time-domain analysis; α - stable noise; fractional order stochastic resonance; multi-frequency weak periodic signals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2014 12th International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4799-2188-1
  • Type

    conf

  • DOI
    10.1109/ICOSP.2014.7014984
  • Filename
    7014984