Stochastic Resonance in an Underdamped System with Pinning Potential for Weak Signal Detection

Sensors

Haibin Zhang²  Qingbo He¹  Fanrang Kong² 

[1] Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China;

关键词: underdamped stochastic resonance;    potential model;    nonlinear filter;    weak signal detection;    fault diagnosis;   

DOI  :  10.3390/s150921169

来源: mdpi

【 摘 要 】

Stochastic resonance (SR) has been proved to be an effective approach for weak sensor signal detection. This study presents a new weak signal detection method based on a SR in an underdamped system, which consists of a pinning potential model. The model was firstly discovered from magnetic domain wall (DW) in ferromagnetic strips. We analyze the principle of the proposed underdamped pinning SR (UPSR) system, the detailed numerical simulation and system performance. We also propose the strategy of selecting the proper damping factor and other system parameters to match a weak signal, input noise and to generate the highest output signal-to-noise ratio (SNR). Finally, we have verified its effectiveness with both simulated and experimental input signals. Results indicate that the UPSR performs better in weak signal detection than the conventional SR (CSR) with merits of higher output SNR, better anti-noise and frequency response capability. Besides, the system can be designed accurately and efficiently owing to the sensibility of parameters and potential diversity. The features also weaken the limitation of small parameters on SR system.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.