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