In order to extract the target signal in the strong noise background at a lower sampling frequency, a method based on interpolation was proposed for the oversampling problem of using stochastic resonance to process signal and the system model of parameter normalized monostable stochastic resonance system was derived in this paper. Firstly, via interpolator to enhance the sampling rate of the sample signal equivalently, then took the interpolated signal as the input of the normalized monostable system and processed it. The simulation results indicated that: while the sampling frequency was only 6 times the highest frequency feature signals’ under the 1strong noise background of input SNR (Signal to Noise Ratio) is－20 dB, this method can be used to achieve the purpose of detecting signal which submerged in heavy noise.
