中文摘要：

针对强噪声背景下基于时频分析的高频CW信号检测算法性能严重下降,提出一种基于非线性双稳随机共振的微弱CW信号检测方法。该方法将CW信号调制到低频端,借助随机共振模型进行滤波,再进行WVD变换与Hough变换,从而将CW信号的检测问题转换为参数空间（ρ,θ）的峰值检测问题。实验结果表明,该方法能够在强噪声背景下有效提取CW信号,可用于指导高频CW电报自动接收设备的研制。

英文摘要：

The time-frequency transformation for detecting high-frequency Continuous Wave（CW） signal with heavy background noise has a noticeable decline in performance.A new method for detecting weak CW signal by use of the nonlinear bistable stochastic resonance model is proposed.Firstly,the received CW signal is modulated to low frequency,then filtered by stochastic resonance model and processed by Wigner-Ville Distribution（WVD） transformation and Hough transformation in turns,thus the detection of CW signal within noise can be easily implemented by a certain peak value in（ρ,θ） parameter space.Simulation studies show this method performs very well in the detection of CW signal with low SNR.The new method can be applied to develop the automatic receiver of high-frequency CW telegraph signal.