A new recognition method for M-QAM signals IN SOFTWARE DEFINED RADIO

被引：3
作者：
Zhao, Yuning [1 ]
Yang, Xiaodong [2 ,3 ]
Lin, Yun [1 ]
机构：
[1] Harbin Engn Univ, Coll Informat & Commun Engn, Harbin, Heilongjiang, Peoples R China
[2] Meisei Univ, Collaborat Res Ctr, Tokyo, Japan
[3] Harbin Engn Univ, Harbin, Heilongjiang, Peoples R China
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY COMPANION (QRS-C) | 2017年
基金：
中国国家自然科学基金;
关键词：
M-QAM signal recognition; Renyi entropy; D-S theory; Wigner-Ville distribution;
D O I：
10.1109/QRS-C.2017.53
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
We proposed an algorithm using Renyi entropy to distinguish the M-QAM signals in this article. There is no requirement of prior information of the parameters of the signal, because the method we proposed making Wigner-Ville distribution time-frequency transform to signal, then calculate the Renyi entropy, and the last the theory of Dempster-Shafer evidence was used to classify the signals. The results of the simulation show that this method is strongly able to recognize M-QAM signals in the existence of additive white Gaussian noise (AWGN), and the proposed method has a better recognition effect in the low SNR compared with other QAM signal recognition method.
引用
收藏
页码：271 / 275
页数：5
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