Effects of potential barrier parameter to signal-to-noise ratio of stochastic resonance in sensor signal feature extraction

Potential barrier parameter induced bistable stochastic resonance (BSR) was studied in this paper. Based on the former stochastic resonance study, potential well parameter b was investigated to explore the parameter-induced stochastic resonance characteristics. A bluetooth stack-based wireless sensor network (WSN) was adopted to obtain the experimental data for parameter-induced stochastic resonance simulating. Under fixed potential barrier parameter b range (from 1.75 to 10), the changes of this parameter produced a systematic output resonance. Output signal-to-noise ration (SNR) results indicated that the fixed potential barrier parameter b could induce stochastic resonance at real-time signal feature extraction level.