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Study of the Method of Multi‐Frequency Signal Detection Based on the Adaptive Stochastic Resonance

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  • Zhenyu Lu
  • Tingya Yang
  • Min Zhu

Abstract

Recently, the stochastic resonance effect has been widely used by the method of discovering and extracting weak periodic signals from strong noise through the stochastic resonance effect. The detection of the single‐frequency weak signals by using stochastic resonance effect is widely used. However, the detection methods of the multifrequency weak signals need to be researched. According to the different frequency input signals of a given system, this paper puts forward a detection method of multifrequency signal by using adaptive stochastic resonance, which analyzed the frequency characteristics and the parallel number of the input signals, adjusted system parameters automatically to the low frequency signals in the fixed step size, and then measured the stochastic resonance phenomenon based on the frequency of the periodic signals to select the most appropriate indicators in the middle or high frequency. Finally, the optimized system parameters are founded and the frequency of the given signals is extracted in the frequency domain of the stochastic resonance output signals. Compared with the traditional detection methods, the method in this paper not only improves the work efficiency but also makes it more accurate by using the color noise, the frequency is more accurate being extracted from the measured signal. The consistency between the simulation results and analysis shows that this method is effective and feasible.

Suggested Citation

  • Zhenyu Lu & Tingya Yang & Min Zhu, 2013. "Study of the Method of Multi‐Frequency Signal Detection Based on the Adaptive Stochastic Resonance," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
    • Handle: RePEc:wly:jnlaaa:v:2013:y:2013:i:1:n:420605
    DOI: 10.1155/2013/420605
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    References listed on IDEAS

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    1. Duan, Fabing & Abbott, Derek, 2007. "Binary modulated signal detection in a bistable receiver with stochastic resonance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 376(C), pages 173-190.
    2. Guo, Feng & Zhou, Yu-rong, 2009. "Stochastic resonance in a stochastic bistable system subject to additive white noise and dichotomous noise," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(17), pages 3371-3376.
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