Study of stochastic resonance parameters optimization of multiple-frequency weak signals based on Bat algorithm

Stochastic resonance algorithm is widely used to process weak noisy signals with a single frequency. In practice, mostly signals consist of multiple target frequencies, so stochastic resonance has certain limitations on processing multi-frequency signals. Adaptive adjustment of stochastic resonance parameters according to the target signal frequency is the critical factor in efficiently processing weak multi-frequency signals. The simulation results show that the bat algorithm can be applied to optimize the structural parameters of the bi-stable stochastic resonance system. Aiming at the difference of multiple-frequency signals, the bat algorithm can find the optimal function parameters through realizing algorithm iteration, and realize the efficient processing of multiple-frequency weak signals.