关键词: 振动共振/
周期势系统/
多频微弱信号检测/
平均信噪比增益
English Abstract
Vibrational resonance in a periodic potential system with stable noise
Jiao Shang-Bin1,2,Sun Di2,
Liu Ding1,
Xie Guo1,
Wu Ya-Li1,
Zhang Qing1
1.Faculty of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China;
2.Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi'an 710048, China
Fund Project:Project supported by the Key Program of National Natural Science Foundation of China (Grant No. 61533014) and the National Natural Science Foundation of China (Grant Nos. U1534208, 61503299).Received Date:14 January 2017
Accepted Date:18 March 2017
Published Online:05 May 2017
Abstract:A periodic potential system excited by multi-low frequency weak signals, the high frequency signal and additive stable noise is constructed. Based on this model, the vibrational resonance phenomenon under stable noise is investigated by taking the mean signal-noise-ratio gain (MSNRI) of output as a performance index. Then the influences of stability index (0 2), the skewness parameter (-1 1) of stable noise, the amplification factor D and the high frequency signal amplitude B, and frequency on the resonant output effect are explored. The results show that under the different distributions of stable noise, the multi-low frequency weak signals detection can be realized by adjusting the high frequency signal parameter B or to induce vibrational resonance within a certain range. When (or ) is given different values, the curve of MSNRI-B has multiple peaks with the increase of B for a certain frequency , and the values of MSNRI corresponding to peaks of the curve of MSNRI-B are equal. So the intervals of B which can induce vibrational resonances are multiple, and the multiple resonance phenomenon turns periodic with the increase of B. Similarly, the curve of MSNRI- also has multiple peaks with the increase of for a certain amplitude B, so the intervals of which can induce vibrational resonances are also multiple. The difference is that the multiple resonance phenomenon becomes irregular with the increase of . Besides, the resonance intervals of B and do not change with nor . Under the different values of amplitude factor D, the resonance intervals of B (or ) do not change with the increase of D, indicating that only the energy of the high frequency signal transfers toward the signals to be measured, and the energy of stable noise does not transfer toward the signals to be measured. Besides, when B and are fixed, it can still be realized to detect the weak signal with the increase of D, which shows that the weak signal detection method based on vibrational resonance can overcome the shortcoming that noise intensity in industrial sites cannot be regulated and controlled. The results provide a new method of detecting the weak signal, and have potential application value in signal processing.
Keywords: vibrational resonance/
a periodic potential system/
multi-low frequency weak signals detection/
the mean of signal-noise-ratio gain
