| 基于小波变换的通信信号识别算法 |
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| 引用本文： | 王芳,张瑞华,王兰勋.基于小波变换的通信信号识别算法[J].通信技术,2008,41(9). |
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| 作者姓名： | 王芳 张瑞华 王兰勋 |
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| 作者单位： | 河北大学,电子信息工程学院,河北,保定,071002 |
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| 摘 要： | 通信技术的数字化已经是现代通信发展的趋势.为识别出通信信号中的数字信号的调制方式,分析了解析信号以及归一化处理后的数字信号经过小波变换后的特点,提出直接提取信号小波变换后的频域特征的算法.该算法无需设置判决门限,可以更简单、直接地实现数字信号与其它信号的类间区分以及数字信号之间的区分.通过仿真表明,该方法可有效区分PSK、FSK、QAM与AM、FM、SSB、CW、噪声.
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| 关 键 词： | 调制方式 小波变换 傅里叶变换 特征提取 |
Identification Algorithm of Communication Signals Based on Wavelet Transform |
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| WANG Fang,ZHANG Rui-hua,WANG Lan-xun.Identification Algorithm of Communication Signals Based on Wavelet Transform[J].Communications Technology,2008,41(9). |
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| Authors: | WANG Fang ZHANG Rui-hua WANG Lan-xun |
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| Affiliation: | WANG Fang,ZHANG Rui-hua,WANG Lan-xun(Department of Electronic , Information Engineering,Hebei University,Baoding Hebei 071002,China) |
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| Abstract: | The digital communication technology is the trend for modern communications.In order to identify the digital modulation types of communication signals,the characteristics of analytic signals and normalized digital signals by wavelet transform are analyzed,and then an algorithm is proposed,which could directly extract features from frequency domain utilizing wavelet transform.This method,without decision threshold,could easily realize the differentiation of digital signals or other signals,including classifi... |
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| Keywords: | modulation type wavelet transform Fourier transform feature extraction |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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