A Stochastic Resonance-Based Detection Method for Extremely Low Frequency Under Impulsive Noise

There are few published studies in the direction of extremely low frequency signal detection. Stochastic resonance has good performance in the field of weak signal detection under Gaussian noise conditions. In this paper, we design a stochastic resonance-based signal detection method to meet the receiver detection requirements for extremely low frequency signals in impulse noise. We utilize the normalized compression transformation function to preprocess the received signal for impulse suppression. The fitness between the parameters of the stochastic resonance system and the preprocessed data is explored to configure the stochastic resonance system parameters. The simulation results show that our method is slightly superior to the traditional method in comprehensive performance.