Stochastic Resonance Based on PSO with Applications in Multiple Line-Spectrums Detection

Abstract

Based on the deficiency of the traditional stochastic resonance method in multi-parameters optimization and the difficulty of adaptive stochastic resonance with genetic algorithm in multiple line-spectrums detection, a new method of adaptive swept stochastic resonance based on particle swarm optimization (PSO) is proposed. The signal-noise-ratio (SNR) of outputs of bistable system is determined as the fitness function of PSO and the line-spectrum can be detected by the synchronous optimization of multi-parameters. Simultaneously, the adaptive swept stochastic resonance, combined with twice sampling algorithm and PSO algorithm, achieves the detection of multiple line-spectrums. The simulation results show that the proposed method can detect multiple line- spectrums signal effectively, and has advantages of simplicity and fast convergence speed.