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.
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Fu, Zk., Xing, Jc., Wang, Sq., Yang, Ql. (2013). Stochastic Resonance Based on PSO with Applications in Multiple Line-Spectrums Detection. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of 20th International Conference on Industrial Engineering and Engineering Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40063-6_42
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DOI: https://doi.org/10.1007/978-3-642-40063-6_42
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