ALGORITHM OF DIGITAL MODULATION RECOGNITION BASED ON SUPPORT VECTOR MACHINES

被引：0
|
作者：
Wang, Lan-Xun [1 ]
Ren, Yu-Jing [1 ]
Zhang, Rui-Hua [1 ]
机构：
[1] Hebei Univ, Coll Elect & Informat Engn, Baoding 071002, Peoples R China
来源：
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年
关键词：
Modulation identification; High order cumulants; Support vector machines; Binary tree;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new algorithm based on high order cumulants(HOC) and support vector machines(SVM) for modulation and recognition of digital communication signals is proposed. The new method can identify six digital modulation signals: 2ASK, 4ASK, 8ASK, 4PSK, 8PSK and 16QAM digital signals using fourth and sixth order cumulants of the signals as vectors and SVM based on binary tree as classifiers. The method uses new class distance as rules of constructing binary tree, which separates the furthest class from others first, so that the method can maintain high generalization ability. The computer simulation results justify the method's validity.
引用
收藏
页码：980 / 983
页数：4
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