基于分段线性随机共振模型的信号检测电路研究

Study on a signal detecting circuit based on piecewise-linear stochastic resonance model

提出了一种新的分段线性随机共振模型,建立了模型的数学关系,通过强噪声背景下微弱周期信号检测的数值仿真,验证了模型的有效性。根据该模型设计了硬件电路,对不同噪声强度背景下微弱周期信号以及无噪声周期信号进行了随机共振实验研究和对比分析,结果表明,该电路可以实现对强噪声背景下的微弱周期信号检测,并能显著增强输出信噪比。

We present a novel piecewise-linear stochastic resonance model in this paper to detect weak signal in noisy environment. It is validated through numerical simulation when the model is driven by white noise and period signal. Besides, the model is implemented with analog circuit and tested in real environment. In our experiment, various practical periodic signals with different noise magnitudes are detected using the circuit. The behaviors of stochastic resonance are studied .The result shows that our circuit can effectively detect weak periodic signal, and boost SNR （signal-to-noise ratio） prominently.