Weak signal detection based on step-changed stochastic resonance

作者：Li Qiang^*; Wang Tai Yong; Leng Yong Gang; Xu Yong Gang

来源：Journal of Tianjin University, 2006, 39(4): 432-437.

• Adiabatic elimination
• Multi frequency features
• Numerical simulation
• Step changed stochastic resonance
• Wavelet analysis
• Weak signal detection

The stochastic resonance analysis of single-frequency weak signals has limited engineering applications because adiabatic elimination stochastic resonance within small parameters can';t detect weak signals in large parameters, and engineering signals usually have multi-frequency features. For this reason, a numerical method called step-changed stochastic resonance was proposed. By adjusting the calculating step, the stochastic resonance method can adapt to weak signal detection in both small and large parameters. Computer simulation results show that the features of multi-frequency weak signals overwhelmed in heavy noise can be detected by step-changed stochastic resonance in both spectrum and wavelet results. Additionally, step-changed stochastic resonance not only decreases the weak signal';s distortion induced by heavy noise in wavelet analysis, but also improves the reliability of wavelet analysis in weak signal detection under low ratios of signal to noise.

• 出版日期2006
• 单位天津大学