Impact signal detection and recovery based on the novel potential well model

To further improve the output effect of the stochastic resonance system driven by the impact signal, this paper uses a novel potential well model as the nonlinear model of the system. Under the α stable noise environment, the detection performance of the stochastic resonance system driven by the impact signal is analyzed when the characteristic coefficient is used as the measurement index. The effect of system parameters on the output effect is studied, and the detection of multiple impact signal are completed. In view of the distortion of the output signal waveform of the stochastic resonance system, the cause of the waveform distortion is analyzed based on the principle of particle dynamics, and the signal recovery system is established. The output signal of the stochastic resonance system is recovered by using the similarity as the output system measurement index. The simulation results show that the stochastic resonance system based on the novel potential well model has a better detection effect, and can effectively detect the time information of the impact signal. The recovery system can realize the estimation of the time-domain waveform of the impact signal under the background of strong noise.