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

• Published in: Chinese physics B Vol. 22; no. 12; pp. 38 - 42
• Main Author: 鲁康 王辅忠 张光璐 付卫红
• Format: Journal Article
• Language: English
• Published: 01.12.2013
• Subjects: Chaos theory; Dynamical systems; Fitness; Gain; Interference; Optimization; Signal processing; SR系统; Stochastic resonance; Systems design; 共振系统; 干扰; 微弱信号; 混沌; 自适应; 设计; 随机共振
• ISSN: 1674-1056; 2058-3834; 1741-4199
• DOI: 10.1088/1674-1056/22/12/120202

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.