• DocumentCode
    3777962
  • Title

    Research on the method of weak signal detection based on bistable stochastic resonance

  • Author

    Li Zhonghu; Cai Zhiquan;Jinming Wang; Zheng Xinxin; Zhang Lin

  • Author_Institution
    School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China
  • Volume
    1
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    300
  • Lastpage
    303
  • Abstract
    Weak signal which is submerged by strong noise in engineering is difficult to detect accurately. The bistable stochastic resonance (BSR) system is proposed in this paper to detect the weak signal. And some simulation researches, including single frequency signal stochastic resonance detection; multi frequency signal stochastic resonance detection and multistage stochastic resonance detection, are accomplished. Simulation results showed that the BSR system can effectively improve the signal to noise ratio of the output signal. Especially, the multistage stochastic resonance system has obvious advantages in the detection of weak signals submerged by strong noise.
  • Keywords
    "Stochastic resonance","Signal to noise ratio","Signal detection","Resonant frequency","Frequency-domain analysis","Time-domain analysis","Simulation"
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments (ICEMI), 2015 12th IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICEMI.2015.7494182
  • Filename
    7494182