A New Method for Detecting Weak High-Frequency CW Signal

摘要：

The method of time-frequency transformation for detecting high-frequency CW signal has a noticeable decline in performance with heavy background noise. This paper presents a new method to detect weak CW signal by use of the nonlinear bistable stochastic resonance model. Firstly, the received CW signal is modulated to low frequency, then filtered by stochastic resonance model and processed by 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 CWtelegraph signal.

关键词： high-frequency CW signal weak signal detection stochastic resonance WVD transform Hough transform

作者: LIN Jin-zhao LI Guo-jun ZHOU Xiao-na ZENG Li

作者单位: Chongqing Uuniversity of Posts and Telecommunications, Chongqing 400065, China Chongqing Uuniversity Chongqing Uuniversity of Posts and Telecommunications, Chongqing 400065, China Chongqing Communicati Chongqing Communication Institute, Chongqing 400035, China

会议类型: 国际会议

会议名称: 2008 Sino-European Workshop on Intelligent Robots and Systems(SEIROS08)(第一届中欧智能系统及机器人国际学术研讨会)

会议地点: 重庆

会议语种:英文

页码: 1-5

在线出版日期: 2008-12-11（万方平台首次上网日期，不代表论文的发表时间）