基于随机共振进行弱信号探测的实验研究

非线性随机共振系统可利用噪声增强微弱信号检测的能力,为强噪声背景下微弱信号的检测开创了新方法.基于随机共振的基本原理设计了硬件电路系统,并将其应用于检测单频和多频微弱信号;通过输入模拟工程实际的带噪信号,采样所得的输出信号的频谱分析结果表明,利用随机共振技术可从强噪声背景下有效地提取出单频和多频弱信号.多频弱信号的有效提取拓展了基于随机共振原理的弱信号检测技术的应用领域,结合数字滤波处理技术有效地消除了低频噪声对信号识别的影响.基于随机共振的弱信号检测技术在信息识别与信息处理方面具有巨大的潜在的应用价值.

Experimental research of weak signal detection based on the stochastic resonance of nonlinear system

Noise can be used by the nonlinear stochastic resonance system to enhance the ability of weak signal detection, which creates a new method of weak signal detection under heavy background noise. A hardware circuit system, designed based on the basic principle of stochastic resonance, is used to detect single-frequency and multi-frequency weak signals. When the signal with noise that simulates actual engineering situation is introduced into the system, the spectrum of samples of the output signal shows that single-frequency and multi-frequency weak signals under heavy background noise can be detected by the technology based on stochastic resonance effectively. The application field of weak signal detection technology based on stochastic resonance is entended by the effective detection of mutil-frequency weak signal, and the degradation of signal recognition by low-frequency noise is eliminated by digital filtering effectively. The weak signal detection technology based on stochastic resonance has potential applications in the information recognition and information processing.