Adaptive Stochastic Resonance System Based on Standard Genetic Algorithm
一种基于经典遗传算法的自适应随机共振系统

According to the demand of weak signal detection in actual engineering, an adaptive stochastic resonance system was designed utilizing standard genetic algorithm(SUA) based on the principle of bistable resonance systems and relationships among signal, noise and the nonlinear system. Through genetic algorithm using output signal-to-noise-ratio (SNR) as objective function and binary joint coding of system parameters, the optimal parameters of bistabile stochastic resonance were identified. Then,received signal was proceeded by making use of optimal stochastic resonance parameters. Simulation results show that the adaptive system designed can always maintain in an optimal state of stochastic resonance to achieve the maximum output SNR and processing gain to 15~20dB quickly. Therefore it ensures effective detection and processing of weak signal in low SNR.