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引用本文：

许世宏,梁伟洋.干扰环境下的信号调制识别[J].电讯技术，2014，54（6）： - . [点击复制]
XU Shi-hong,LIANG Wei-yang.Modulation recognition with presence of interference signals[J].，2014，54（6）： - . [点击复制]

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干扰环境下的信号调制识别
许世宏,梁伟洋
0 字体:加大+\|默认\|缩小-
(空军第一航空学院，河南信阳 464000)

摘要:

针对干扰环境提出了一种基于独立成分分析（ICA）和支持矢量机（SVM）的通信信号调制识别算法。算法利用多天线接收技术，采用独立成分分析方法寻求观测样本矢量的统计独立分量，设计了以二值支持矢量机（SVM）为基础的多值分类器，该算法具有较高的训练速度和较好的分类性能。仿真表明，当信干比大于10 dB、移动速度小于12 m/s时，算法的总体正确识别率超过0.9。干扰环境下的信号调制识别研究具有较重要的实际工程应用意义。

关键词: 调制识别干扰信号多天线接收独立成分分析；支持向量机

DOI：

基金项目:

Modulation recognition with presence of interference signals

XU Shi-hong,LIANG Wei-yang

()

Abstract:

For the presence of interference signals,a modulation recognition algorithm is proposed based on independent component analysis(ICA) and support vector machine(SVM). The multiple-antenna-reception and the ICA method are used to extract the independent component from the sample vector. The multiple-valued classifier based on two-valued SVM is designed. The proposed algorithm has faster training speed and better recognition performance. The extensive simulation results show that the correct ratio of the recognition algorithm is greater than 0.9 as SIR≥10 dB and speed less than 12 m/s. The corresponding studies are meaningful for engineering application.

Key words: modulation recognition interference signal multiple antenna reception independent component analysis support vector machine