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

In: Proceedings of 20th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Zhi-kai Fu

    (PLA University of Science and Technology)

  • Jian-chun Xing

    (PLA University of Science and Technology)

  • Shuang-qing Wang

    (PLA University of Science and Technology)

  • Qi-liang Yang

    (PLA University of Science and Technology)

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.

Suggested Citation

  • Zhi-kai Fu & Jian-chun Xing & Shuang-qing Wang & Qi-liang Yang, 2013. "Stochastic Resonance Based on PSO with Applications in Multiple Line-Spectrums Detection," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, edition 127, pages 419-427, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-40063-6_42
    DOI: 10.1007/978-3-642-40063-6_42
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