基于支持向量机分类器的数字调制识别

Hussam Mustafa, Miloš Doroslova
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引用次数: 35

摘要

提出了二电平和四电平移幅键控、二相移相键控、正交移相键控、二载波移频键控和四载波移频键控的四个特征。在此基础上,提出了一种基于支持向量机(SVM)的分类方法。我们研究了支持向量机分类器的性能,并将其与文献中对数字调制分类问题所做的工作进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital modulation recognition using support vector machine classifier
We propose four features to classify amplitude shift keying with two levels and four levels, binary phase shift keying, quadrature phase keying, frequency shift keying with two carriers and four carriers. After that we present a new method of classification based on support vector machine (SVM) that uses the four proposed features. We study the performance of SVM classifier and compare it to the previous work done in the literature on the digital modulation classification problem.
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