| 基于小波变换的数字通信信号识别 |
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| 引用本文： | 薛磊,刘小秋.基于小波变换的数字通信信号识别[J].电讯技术,2006,46(3):52-56. |
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| 作者姓名： | 薛磊 刘小秋 |
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| 作者单位： | 解放军电子工程学院,合肥,230037;解放军电子工程学院,合肥,230037 |
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| 摘 要： | 小波变换对瞬态信息具有较强的检测能力。不同的数字通信信号在码元变化时呈现不同的瞬态信息。分别对幅度未归一化和幅度归一化的3种数字信号（ASK、FSK、PSK）进行小波变换，提取变换后包络方差与均值平方之比作为分类的特征参数，最后利用人工神经网络进行分类识别。仿真结果表明，在低信噪比（5dB）时该算法仍具有很高的识别率。
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| 关 键 词： | 数字调制信号 调制样式识别 小波变换 人工神经网络 |
| 文章编号： | 1001-893X（2006）03-0052-05 |
| 收稿时间： | 2005-04-11 |
| 修稿时间： | 2005-04-112005-10-21 |
Modulation Identification of Digital Signals Based on Wavelet Transform |
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| XUE Lei,LIU Xiao-qiu.Modulation Identification of Digital Signals Based on Wavelet Transform[J].Telecommunication Engineering,2006,46(3):52-56. |
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| Authors: | XUE Lei LIU Xiao-qiu |
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| Affiliation: | PLA Electronic Engineering Institute, Hefei 230037, China |
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| Abstract: | Wavelet transform(WT) is suitable for detecting transient signals.Instantaneous features of digital signals will be presented when the symbols change.This paper discusses the wavelet transform of the signals with and without the amplitude normalization,then extracts the ratio of the variance to the square of mean as the key feature,and finally an artificial neural networks(ANN) classifier is proposed to identify three digital modulation signals: ASK,FSK and PSK.Simulations show that the algorithm is very effective at low SNR of 5 dB. |
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| Keywords: | digital modulation signals modulation identification wavelet transform artificial neural network(ANN) |
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