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

doi:10.1088/1674-1056/22/12/120202

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.

Keywords: chaotic interference self-adaptive genetic algorithm optimal SR

Received: 24 January 2013
Revised: 03 May 2013
Accepted manuscript online:

PACS:	02.50.-r	(Probability theory, stochastic processes, and statistics)
	05.45.-a	(Nonlinear dynamics and chaos)
	05.40.-a	(Fluctuation phenomena, random processes, noise, and Brownian motion)
	05.10.Gg	(Stochastic analysis methods)

Fund: Project supported by the National Natural Science Foundation of China (Grant No. 61271011).

Corresponding Authors: Wang Fu-Zhong
E-mail: wangfuzhong@163.com

Cite this article:

Lu Kang (鲁康), Wang Fu-Zhong (王辅忠), Zhang Guang-Lu (张光璐), Fu Wei-Hong (付卫红) A self-adaptive stochastic resonance system design and study in chaotic interference 2013 Chin. Phys. B 22 120202

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