基于时延反馈多稳随机共振的微弱信号检测方法

为了检测噪声背景下的微弱信号,提出了一种基于一次项时延的新型多稳态随机共振模型。分析了各参数对该模型的影响,并与时延反馈随机共振模型进行对比。提出的基于一次项时延的多稳态随机共振模型可以集中增强微弱信号特征频率处的幅值,提高输出信号的信噪比和谱功率放大系数。通过实例验证表明提出的方法可以有效检测出早期微弱信号的特征。

Weak Signal Detection Method Based on Delay Feedback Multistable Stochastic Resonance

In order to detect weak signals in noisy background, a novel multistable stochastic resonance model based on one-time delay is proposed. The influence of each parameter on the model is analyzed and compared with the delay feedback stochastic resonance model. In this paper, a multistable stochastic resonance model based on one-time delay is proposed, which can enhance the amplitude at the characteristic frequency of weak signals and improve the signal-to-noise ratio and spectral power amplification factor of output signals. Examples show that the proposed method can effectively detect the characteristics of early weak signals.