The high-frequency weak signal detection based on stochastic resonance

Aiming at the issue of the traditional stochastic resonance only applicable to deal with low-frequency signals, a high-frequency weak signal detection method based on stochastic resonance is proposed. By analyzing the relationship among the traditional stochastic resonance model parameters, the input signal amplitude, the noisy signal and the signal to noise ratio of output, an additional gain is added to the original model which makes the sampling time multiplied reduced in the stochastic resonance system, in order to achieve the mapping from high-frequency signal to low-frequency signal. Studies have shown that the improved stochastic resonance model has accurately detected the high-frequency input signal.