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
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.
［1］张鉴, 童睿, 周道逵, 等. 汽车防撞雷达多目标识别测量算法研究［J］. 计量学报, 2017, 38(1):106-111.
Zhang J, Tong R, Zhou D K, et al. Research on Multi-target Recognition and Measurement Algorithm for Automobile Collision Avoidance Radar［J］. Acta Metrologica Sinica, 2017, 38(1):106-111 .
［2］刘剑鸣, 习敬伟. Liu-cos混沌系统在声波弱信号检测中的应用［J］. 计量学报, 2018, 34(3): 100-105.
Liu J M, Xi J W. Application of Liu-cos chaotic system in sound wave weak signal detection［J］. Acta Metrologica Sinica, 2018, 34(3): 100-105.
［3］张旻, 程家兴. 基于EMD和小波去噪处理的信号瞬时参数提取［J］. 信号处理, 2004, 20(5): 512-516.
Zhang M, Cheng J X. Instantaneous parameter extraction of signals based on EMD and wavelet denoising［J］. Journal of Signal Processing, 2004, 20(5): 512-516.
［4］陈剑,陶善勇,王维, 等. 基于周期势函数的自适应二阶欠阻尼随机共振信号增强方法［J］. 计量学报, 2019, 40(4):681-685.
Chen J, Tao S Y, Wang W, et al. Adaptive Second-order Underdamped Stochastic Resonance Signal Enhancement Method Based on Periodic Potential Function［J］. Acta Metrologica Sinica, 2019, 40(4):681-685.
［5］Benzi R, Sutera A, Vulpiani A. The mechanism of stochastic resonance［J］. J Phys A, 1998, 14(11): L453.
［6］Tan J Y, Chen X F, Wang J Y, et al. Study of frequency-shifted and re-scaling stochastic resonance and its application to fault diagnosis［J］. Mechanical Systems & Signal Processing, 2009, 23(3): 811-822.
［7］Li J, Chen X, He Z. Multi-stable stochastic resonance and its application research on mechanical fault diagnosis［J］. Journal of Sound & Vibration, 2013, 332(22): 5999-6015.
［8］时培明, 李培, 韩东颖, 等. 基于变尺度多稳随机共振的微弱信号检测研究［J］. 计量学报, 2015, 36(6): 628-633.
Shi P M, Li P, Han D Y, et al. Research on Weak Signal Detection Based on Variable Scale Multi-stable Stochastic Resonance［J］. Acta Metrologica Sinica, 2015, 36(6): 628-633.
［9］樊养余, 李利品, 党瑞荣. 基于随机共振的任意大频率微弱信号检测方法研究［J］. 仪器仪表学报, 2013, 34(3): 566-572.
Fan Y Y, Li L P, Dang R R. Research on Detection Method of Weak Signal with Arbitrary Large Frequency Based on Stochastic Resonance［J］. Chinese Journal of Scientific Instrument, 2013, 34(3): 566-572.
［10］Shi P M, Ding X J, Han D Y. Study on multi-frequency weak signal detection method based on stochastic resonance tuning by multi-scale noise［J］. Measurement, 2014, 47: 540-546.
2020, Vol. 41 
