Chin. Phys. B ›› 2013, Vol. 22 ›› Issue (12): 120202-120202.doi: 10.1088/1674-1056/22/12/120202

• GENERAL • 上一篇    下一篇

A self-adaptive stochastic resonance system design and study in chaotic interference

鲁康, 王辅忠, 张光璐, 付卫红   

  1. College of Science, Tianjin Polytechnic University, Tianjin 300387, China
  • 收稿日期:2013-01-24 修回日期:2013-05-03 出版日期:2013-10-25 发布日期:2013-10-25
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant No. 61271011).

A self-adaptive stochastic resonance system design and study in chaotic interference

Lu Kang (鲁康), Wang Fu-Zhong (王辅忠), Zhang Guang-Lu (张光璐), Fu Wei-Hong (付卫红)   

  1. College of Science, Tianjin Polytechnic University, Tianjin 300387, China
  • Received:2013-01-24 Revised:2013-05-03 Online:2013-10-25 Published:2013-10-25
  • Contact: Wang Fu-Zhong E-mail:wangfuzhong@163.com
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant No. 61271011).

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摘要： The us of stochastic resonance (SR) can effectively achieve the detection of weak signal in white noise and colored noise. However, SR in chaotic interference is seldom involved. In view of the requirements for the detection of weak signal in the actual project and the relationship between the signal, chaotic interference, and nonlinear system in the bistable system, a self-adaptive SR system based on genetic algorithm is designed in this paper. It regards the output signal-to-noise ratio (SNR) as a fitness function and the system parameters are jointly encoded to gain optimal bistable system parameters, then the input signal is processed in the SR system with the optimal system parameters. Experimental results show that the system can keep the best state of SR under the condition of low input SNR, which ensures the effective detection and process of weak signal in low input SNR.

关键词: chaotic interference, self-adaptive, genetic algorithm, optimal SR

Abstract: The us of stochastic resonance (SR) can effectively achieve the detection of weak signal in white noise and colored noise. However, SR in chaotic interference is seldom involved. In view of the requirements for the detection of weak signal in the actual project and the relationship between the signal, chaotic interference, and nonlinear system in the bistable system, a self-adaptive SR system based on genetic algorithm is designed in this paper. It regards the output signal-to-noise ratio (SNR) as a fitness function and the system parameters are jointly encoded to gain optimal bistable system parameters, then the input signal is processed in the SR system with the optimal system parameters. Experimental results show that the system can keep the best state of SR under the condition of low input SNR, which ensures the effective detection and process of weak signal in low input SNR.

Key words: chaotic interference, self-adaptive, genetic algorithm, optimal SR

中图分类号:  (Probability theory, stochastic processes, and statistics)

  • 02.50.-r
05.45.-a (Nonlinear dynamics and chaos) 05.40.-a (Fluctuation phenomena, random processes, noise, and Brownian motion) 05.10.Gg (Stochastic analysis methods)