Recognition of Digital Modulation Signals Based on High Order Cumulants and Support Vector Machines

被引：25
|
作者：
Wang, Lan-Xun [1 ]
Ren, Yu-Jing [1 ]
机构：
[1] Hebei Univ, Coll Elect & Informat Engn, Baoding, Peoples R China
来源：
2009 ISECS INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT, VOL IV | 2009年
关键词：
Modulation identification; High order cumulants; Support vector machines; Binary tree;
D O I：
10.1109/CCCM.2009.5267733
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The paper presents a new algorithm of digital modulation signals based on high order cumulants (HOC) and support vector machines (SVM). The parameters which are picked up from the signals' fourth order and sixth order cumulants are used as the classification feature vectors. Using SVM based on binary tree as classifiers, recognition of the 2ASK, 4ASK, QPSK, 2FSK and 4FSK signals is efficient. The computer simulation results justify that the success rate is over 97.5% at SNR=10 dB.
引用
收藏
页码：271 / 274
页数：4
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