Stochastic Resonance in an Underdamped System with Pinning Potential for Weak Signal Detection
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Sensors 2015, 15(9), 21169-21195; https://doi.org/10.3390/s150921169
Received: 7 July 2015
/
Revised: 19 August 2015
/
Accepted: 24 August 2015
/
Published: 28 August 2015
(This article belongs to the Section Physical Sensors)
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.
View Full-Text
Keywords:
underdamped stochastic resonance; potential model; nonlinear filter; weak signal detection; fault diagnosis
▼
Show Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Zhang, H.; He, Q.; Kong, F. Stochastic Resonance in an Underdamped System with Pinning Potential for Weak Signal Detection. Sensors 2015, 15, 21169-21195. https://doi.org/10.3390/s150921169
AMA Style
Zhang H, He Q, Kong F. Stochastic Resonance in an Underdamped System with Pinning Potential for Weak Signal Detection. Sensors. 2015; 15(9):21169-21195. https://doi.org/10.3390/s150921169
Chicago/Turabian StyleZhang, Haibin, Qingbo He, and Fanrang Kong. 2015. "Stochastic Resonance in an Underdamped System with Pinning Potential for Weak Signal Detection" Sensors 15, no. 9: 21169-21195. https://doi.org/10.3390/s150921169
Find Other Styles
