| 基于SVM的多类模拟调制方式识别算法 |
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| 引用本文： | 孙建成,张太镒,刘海员.基于SVM的多类模拟调制方式识别算法[J].电子科技大学学报（自然科学版）,2006,35(2):149-152. |
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| 作者姓名： | 孙建成 张太镒 刘海员 |
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| 作者单位： | 1.江西财经大学电子学院 南昌 330013; |
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| 摘 要： | 提出了一种基于支持向量机的多类模拟调制方式识别算法。该算法通过分析模拟调制信号的特点,提取有效的特征向量以区分不同的调制方式,并基于支持向量机和判决树分类思想,将特征向量映射到高维空间中加以分类。仿真结果表明:在具有加性带限高斯噪声的环境下,信噪比不小于10 dB时,识别正确率大于90%。
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| 关 键 词： | 支持向量机 调制方式识别 特征提取 |
| 收稿时间： | 2004-01-13 |
| 修稿时间： | 2004-01-13 |
Multi-Class Analogue Modulation Recognition Algorithms Based on Support Vector Machines |
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| SUN Jian-cheng,ZHANG Tai-yi,LIU Hai-yuan.Multi-Class Analogue Modulation Recognition Algorithms Based on Support Vector Machines[J].Journal of University of Electronic Science and Technology of China,2006,35(2):149-152. |
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| Authors: | SUN Jian-cheng ZHANG Tai-yi LIU Hai-yuan |
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| Affiliation: | 1.School of Electronics,Jiangxi Universtiy of Finance and Economics Nanchang 330013;2.School of Electronics and Information Engineering,Xi'an Jiaotong University Xi'an 710049 |
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| Abstract: | An algorithm based on Support Vector Machines(SVM) for recognition of analogue modulation signals is presented. By analyzing the modulation signals, a set of key features for identifying different types of analogue modulation are extracted and are mapped into the high dimension space. The classification is carried out in the high dimension space based on SVM and decision tree. The result shows that all types of analogue modulation can be classified with success rate more than 90% when SNR higher than 10 dB. |
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| Keywords: | support vector machines modulation recognition feature extraction |
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