| 基于随机共振的微弱高频CW信号检测技术研究 |
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| 引用本文： | 李国军,曾孝平,周晓娜,李林,曾理.基于随机共振的微弱高频CW信号检测技术研究[J].电子科技大学学报(社会科学版),2010(5). |
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| 作者姓名： | 李国军 曾孝平 周晓娜 李林 曾理 |
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| 作者单位： | 重庆大学通信工程学院;中国人民解放军重庆通信学院;西安电子科技大学机电工程学院; |
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| 基金项目： | 国家自然科学基金(60971016); 重庆市教委科研项目(KJ100501); 中央高校基本科研业务费专项资金(CDJXS10161113) |
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| 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。
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| 关 键 词： | Hough变换 莫尔斯信号 短波通信 随机共振 维格纳分布 |
Detection Technique Based on Stochastic Resonance for Weak High-Frequency CW Signal |
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| LI Guo-jun,ZENG Xiao-ping,ZHOU Xiao-na,LI Lin, ZENG Li.Detection Technique Based on Stochastic Resonance for Weak High-Frequency CW Signal[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2010(5). |
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| Authors: | LI Guo-jun ZENG Xiao-ping ZHOU Xiao-na LI Lin ZENG Li |
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| Institution: | LI Guo-jun1,2,ZENG Xiao-ping1,ZHOU Xiao-na2,LI Lin3,, ZENG Li2 (1.College of Communication Engineering,Chongqing University Shapingba Chongqing 400044,2.Chongqing Communication Institute Shapingba Chongqing 400035,3.School of Electro-Mechanical Engineering,Xidian University Xi'an 710071) |
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| Abstract: | 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... |
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| Keywords: | Hough transformation Morse telegraph signal shortwave communication stochastic resonance Wigner-Ville distribution(WVD) |
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