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Sensors 2007, 7(2), 157-165; doi:10.3390/s7020157

Article

A Modified Adaptive Stochastic Resonance for Detecting Faint Signal in Sensors

Qi Huang ¹ , Jun Liu ^2,*  and Hengwei Li ³

¹ Modern Industrial Design Institute, Zhejiang University, 38 ZheDa Road, Hangzhou 310027, China ² Department of Biomedical Engineering, Zhejiang University, 38 ZheDa Road, Hangzhou 310027, China ³ Center for the Study of Language and Cognition, Zhejiang University, Hangzhou 310027, China

* Author to whom correspondence should be addressed.

Received: 16 July 2006 / Accepted: 5 February 2007 / Published: 15 February 2007

(This article belongs to the Special Issue Intelligent Sensors)

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Abstract: In this paper, an approach is presented to detect faint signals with strong noises in sensors by stochastic resonance (SR). We adopt the power spectrum as the evaluation tool of SR, which can be obtained by the fast Fourier transform (FFT). Furthermore, we introduce the adaptive filtering scheme to realize signal processing automatically. The key of the scheme is how to adjust the barrier height to satisfy the optimal condition of SR in the presence of any input. For the given input signal, we present an operable procedure to execute the adjustment scheme. An example utilizing one audio sensor to detect the fault information from the power supply is given. Simulation results show that th

Keywords: faint signals; strong noises; stochastic resonance; bistable equation.

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