Detection Method of Weak Signal with Multi-stable Stochastic Resonance Under Color Noise

doi:10.16182/j.issn1004731x.joss.201809024

Abstract

Abstract: The color noise is combined with a multi-stable stochastic resonance system. The characteristics of stochastic resonance in multi-stable system are analyzed deeply under color noise which is more close to reality, and the signal-to-noise ratio gain is regarded as the measurement index. The self-adaptive method is used to study multi-stable stochastic resonance system parameters a, b, c and intensity amplification facto D on the resonant output. Based on the above analysis, different signals are detected. Multi-stable system is applied in rolling bearing fault diagnosis. Experimental results demonstrate that the parameters induced multi-stable system has significant detection effect on weak signals, and the SNR of single frequency signal can increase 12 dB in the case of SNR of -20 dB.

Key words: multi-stable system, color noise, self-adaptive methods, stochastic resonance, signal-to-noise ratio gain

CLC Number:

TP391

Zhang Gang, Yi Tian, He Li’na. Detection Method of Weak Signal with Multi-stable Stochastic Resonance Under Color Noise[J]. Journal of System Simulation, 2018, 30(9): 3420-3428.

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