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| Weak Signal Detection Method Based on Delay Feedback Multistable Stochastic Resonance |
| SHI Pei-ming1,2,YUAN Dan-zhen1,2,ZHANG Wen-yue1,2,LI Meng-di1,2,HAN Dong-ying3 |
1. Key Lab Measurement Technol & Instrument Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China
2. School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
3. School of Vehicles and Energy, Yanshan University, Qinhuangdao, Hebei 066004, China |
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Abstract In order to detect weak signals in noisy background, a novel multistable stochastic resonance model based on one-time delay is proposed. The influence of each parameter on the model is analyzed and compared with the delay feedback stochastic resonance model. In this paper, a multistable stochastic resonance model based on one-time delay is proposed, which can enhance the amplitude at the characteristic frequency of weak signals and improve the signal-to-noise ratio and spectral power amplification factor of output signals. Examples show that the proposed method can effectively detect the characteristics of early weak signals.
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Received: 14 April 2019
Published: 29 June 2020
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2020, Vol. 41 
