A Method of Weak Signal Detection Based on Large Parameter Stochastic Resonance

被引：0
|
作者：
Wang, Zhixia [1 ]
Guo, Li [1 ]
Li, Ke [1 ]
机构：
[1] Shijiazhuang Mech Engn Coll, Shijiazhuang, Hebei, Peoples R China
来源：
COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS | 2018年 / 423卷
关键词：
Large parameter stochastic resonance; Frequency-shifted and rescaling stochastic resonance; Variable step; Bearing fault detection;
D O I：
10.1007/978-981-10-3229-5_67
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Aiming at weak signal detection based on large parameter stochastic resonance (LPSR), frequency-shifted and rescaling stochastic resonance (FRSR) is used to obtain the weak feature of signals submerged in noise. An improved variable step algorithm is combined to the FRSR in this paper, we use the variable step to take place of a traditional fixed value after shifting and rescaling the frequency. It has been shown marked detection efficiency of the method by the results both in the simulation and engineering application.
引用
收藏
页码：635 / 642
页数：8
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