虚拟仪器中欠阻尼系统随机共振的应用与优化

Application and Optimization of Stochastic Resonance in Underdamped Systems with Virtual Instruments

针对现实应用中的噪声问题,基于虚拟仪器(Labview)的实验平台,在欠阻尼二阶线性系统中利用随机共振对弱信号进行检测仿真实验,研究表明,该系统输出信噪比呈非单调变化,适当调节系统参数和噪声强度可观察到欠阻尼二阶线性系统中存在随机共振现象,提高了信号的信噪比,进而可以检测到夹杂在噪声中的弱信号。该仿真系统还可以改造成检测实际弱信号的检测系统,与实际应用接轨,并通过遗传算法进行了参数优化,得到了预期理想效果,具有现实应用意义。

For noise problem in practical applications, stochastic resonance to weak signal detection simulation experiment was applied in underdamped second-order linear system based on Labview experimental platform. The research shows that the output SNR of this system is non-monotonic. By properly adjusting system parameters and noise intensity, the stochastic resonance phenomenon is observed in underdamped second-order linear system and improves the SNR of signals. The phenomenon of weak signals mixed in noise can be detected. This simulation system can be transformed into the actual detection system and be applied in practice. V^th parameter optimization by Genetic Algorithm, the tests perform as expected and show some practical significance of application.