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

被引：8
|
作者：
Lu Kang [1 ]
Wang Fu-Zhong [1 ]
Zhang Guang-Lu [1 ]
Fu Wei-Hong [1 ]
机构：
[1] Tianjin Polytech Univ, Coll Sci, Tianjin 300387, Peoples R China
来源：
CHINESE PHYSICS B | 2013年 / 22卷 / 12期
基金：
中国国家自然科学基金;
关键词：
chaotic interference; self-adaptive; genetic algorithm; optimal SR;
D O I：
10.1088/1674-1056/22/12/120202
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
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.
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页数：5
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