基于支持向量机的小波包调制信号识别  

Identification of wavelet packet modulation signal based on SVM

作　　者：董庭亮[1] 唐向宏[1,2] 马丹丹[1] 李双霞[1] 

机构地区：[1]杭州电子科技大学通信工程学院,杭州310018 [2]杭州电子科技大学信息工程学院,杭州310018

出　　处：《计算机工程与应用》2013年第18期223-226,共4页Computer Engineering and Applications

基　　金：浙江省大学生创新创业孵化资助项目(No.R407068);浙江省研究生创新科研资助项目(No.YK2009054)

摘　　要：基于小波包调制信号和OFDM信号在分数阶傅里叶变换域分布的不同,利用图像成形技术对接收信号的分数阶傅里叶变换域分布图进行处理,探讨了小波包调制信号和OFDM信号的分数阶域分布成形图的特征参数,利用支持向量机做分类器,实现了这两种多载波调制信号的分类识别。计算机仿真结果,验证了算法的性能。Based on the difference of wavelet packet modulation signal and OFDM signal in the fractional Fourier domain distribution, the picture of received signal＇ s fractional Fourier domain distribution is processed by the image forming technology. In additive Gaussian white noise channel, Rayleigh fading channel and frequency selective fading channel, the characteristic parameters of the formed picture of fractional Fourier domain distribution are discussed. In addition, the modulation identification between OFDM and WPM is studied. The effectiveness of this method is done by the computer simulations.

关 键 词：小波包调制 调制识别 分数阶傅里叶 图像成形 

分 类 号：TN911.4[电子电信—通信与信息系统]