| 基于统计特征主分量的信号调制识别 |
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| 引用本文： | 陈怀新,南建设,肖先赐.基于统计特征主分量的信号调制识别[J].电子科技大学学报(社会科学版),2004(3). |
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| 作者姓名： | 陈怀新 南建设 肖先赐 |
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| 作者单位： | 中国电子科技集团公司第十研究所 成都610036电子科技大学电子工程学院成都610054
(陈怀新)，中国电子科技集团公司第十研究所 成都610036
(南建设)，电子科技大学电子工程学院 成都610054(肖先赐) |
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| 摘 要： | 采用数字信号处理方法提取待识别信号的瞬时特征统计参量,利用多元统计的主分量分析方法对特征参量进行其主分量组合,以消除特征参量间的相关性和压缩特征向量的维数,并采用统计模式识别的模板匹配判决进行信号调制方式的自动识别,模拟结果证实了此方法的有效性和高识别率。
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| 关 键 词： | 信号调制识别 统计特征参量 主分量分析 特征压缩 |
Modulation Recognition of Signal Based on Statistical Principal Component Feature Parameters |
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| Chen Huaixin,Nan Jianshe,Xiao Xianci.Modulation Recognition of Signal Based on Statistical Principal Component Feature Parameters[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2004(3). |
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| Authors: | Chen Huaixin Nan Jianshe Xiao Xianci |
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| Institution: | Chen Huaixin1,2,Nan Jianshe1,Xiao Xianci2 |
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| Abstract: | The instantaneous feature parameters of received signal are extracted using digital signal processing, the eliminating correlation and dimensionality reduction for these feature parameters are realized using the principal component analysis approach. The classification and recognition of modulation of signal are designed by template matching of statistical pattern recognition. The simulation results show the approach proposed in this paper is efficient. |
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| Keywords: | modulation recognition statistical feature parameters principal component analysis feature dimensional reduction |
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