基于变尺度多稳随机共振的微弱信号检测研究

doi:10.3969/j.issn.1000-1158.2015.06.17

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Abstract Aiming at the problem of weak signal detection under strong noise background, a novel method of weak signal detection based on variable scale multi-stable stochastic resonance is proposed. The weak signal detection ability of multi-stable stochastic resonance system is better than the bistable stochastic resonance system, which provided a new method for the detection of weak signal under strong noise background. First, the signal which is under large-scale frequency conditions while cannot occur stochastic resonance is processed by variable scale sub-sampling compression to make it to meet the conditions of stochastic resonance, then making the signal through a multi-stable system and adjusting the parameters to get the spectral characteristics of the signal, finally, comparing it with the characteristic frequency gained from the bistable stochastic resonance method.The simulation and experiment results show that under the same conditions, it is more accurate using the multi-stable stochastic resonance method to obtain frequency than the bistable stochastic resonance method, the proposed method also can enhance the signal amplitude, effectively detect weak signal submerged by strong noise.

Key words： metrology week signal detection stochastic resonance multi-stable variable scale

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TB973

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	Articles by authors
	SHI Pei-ming
	LI Pei
	HAN Dong-ying
	LIU Bin

Cite this article:

SHI Pei-ming,LI Pei,HAN Dong-ying, et al. Study on Weak Signal Detection Based on Variable Scale Multi-stable Stochastic Resonance[J]. Acta Metrologica Sinica, 2015, 36(6): 628-633.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2015.06.17 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2015/V36/I6/628

［1］岳建海, 曾凡仔, 裘正定. 双稳系统噪声特性的分析与弱信号检测的研究［J］.计量学报, 2005, 26(1):60-65.
［2］周玉荣, 郭锋, 蒋世奇,等. 信号调制色噪声作用下线性系统的随机共振［J］.计量学报, 2008, 29(4):369-373.
［3］韩东颖, 丁雪娟, 时培明. 基于自适应变尺度频移带通随机共振降噪的EMD多频微弱信号检测［J］.机械工程学报, 2013, 49(8): 10-18.
［4］罗琦, 朱敏, 韦香. 多频信号的自适应随机共振检测方法［J］.武汉大学学报（理学版）, 2013,59 (3): 260-266.
［5］赵文礼, 刘进, 殷园平. 基于随机共振原理的中低频信号检测方法与电路设计［J］.仪器仪表学报, 2011, 32(4): 721-728.
［6］夏均忠, 刘远宏, 马宗坡, 等. 基于调制随机共振的微弱信号检测研究［J］.振动与冲击, 2012, 31(3): 132-135.
［7］Benzi R, Sutera A, Vulpiani A. The mechanism of stochastic resonance［J］.Journal of Physics A: mathematical and general, 1981, 14(11): L453.
［8］Shi P, Ding X, Han D. Study on multi-frequency weak signal detection method based on stochastic resonance tuning by multi-scale noise［J］.Measurement, 2014, 47: 540-546.
［9］He Q, Wang J. Effects of multiscale noise tuning on stochastic resonance for weak signal detection［J］.Digital Signal Processing, 2012, 22(4): 614-621.
［10］Gong M, Guo F. Phenomenon of stochastic resonance in a time-delayed bistable system driven by colored noise and square-wave signal［J］.Chinese Journal of Physics, 2011, 49(2): 655-663.
［11］时培明, 丁雪娟, 韩东颖. 基于变尺度频移带通随机共振的多频微弱信号检测方法［J］.计量学报, 2013, 34(3):282-288.
［12］张晓燕, 徐伟, 周丙常. 色高斯噪声驱动双稳系统的多重随机共振研究［J］.物理学报, 2011, 60(6): 60514-060514.
［13］祝恒江, 李蓉, 温孝东. 利用随机共振在强噪声下提取信息信号［J］.物理学报, 2003, 52(10): 2404-2408.
［14］林敏, 黄咏梅. 调制与解调用于随机共振的微弱周期信号检测［J］.物理学报, 2006, 55(7): 3277-3282.
［15］莫建文, 欧阳缮, 肖海林, 等. 阵列双稳随机共振在微弱信号检测中的应用研究［J］.信号处理, 2011, 27(5): 755-759.
［16］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.
［17］胡茑庆, 温熙森, 陈敏. 随机共振原理在强噪声背景信号检测中的应用［J］.国防科技大学学报, 2001, 23(4): 40-44.
［18］Bearing data center. 12k-driveend-bearing-fault-data［OL/DB］. ［2014-01-08］. http://www.csegroups.case.edu/bearingdatacenter/pages.