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

Sensors
Haibin ZhangFanrang Kong

Abstract

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.

References

Dec 15, 1991·Physical Review. a·P Jung, P Hänggi
Jan 23, 1989·Physical Review Letters·L GammaitoniS Santucci
Sep 23, 1991·Physical Review Letters·L GammaitoniS Santucci
Nov 23, 2000·Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics·L AlfonsiA R Bulsara
Oct 4, 2003·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Yan-Mei KangYong Xie
Jun 30, 2009·PLoS Computational Biology·Mark D McDonnell, Derek Abbott
Mar 10, 2012·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Paolo AddessoVincenzo Pierro
Mar 8, 2013·The Review of Scientific Instruments·Siliang LuFanrang Kong

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Software Mentioned

UPSR
MATLAB

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