基于Morlet小波变换的MPSK信号调制识别  

MPSK Modulation Classification Based on Morlet Transform

作　　者：崔琛[1] 李辉[1] 余剑[1] 

机构地区：[1]电子工程学院,安徽合肥230037

出　　处：《通信技术》2010年第3期10-12,共3页Communications Technology

摘　　要：文中利用了MPSK信号经Morlet小波变换后的相位特性,提出了一种识别MPSK信号的方法。Morlet小波有良好的时频局部特性,与Hilbert变换相比,MPSK信号通过Morlet小波变换后获得了信噪比增益,因此可以更精确提取信号的瞬时相位。受加性高斯白噪声污染的MPSK信号经Morlet小波变换后,相位的概率密度函数可以用Tikhonov函数近似,由近似函数利用相位的统计性质识别MPSK信号。以已有的一种识别算法为例识别MPSK信号,仿真结果表明:在正确识别率为0.9时,采用Morlet小波变换,所需信噪比低约3dB。This paper proposes a method for classifying MPSK modulation,and this method uses the phase property when the signal is transformed by the Morlet.The Morlet has good time-frequency characteristic,and as compared with Hilbert transform,the Morlet transform could offer signal-to-noise ratio （SNR） gain,thus the instantaneous phase of signal could be extracted more accurately.Tikhonov function could be used to approximate the probability density function （PDF） of the phase when the MPSK signals with additive white Gaussian noise （AWGN） is transformed by the Morlet.The MPSK modulations could be classified by using the approximation function.Simulation on an existing method indicates that,when the probability of correct classification is 0.9,and by using Morlet transform,the needed SNR is reduced to a low value of 3dB.

关 键 词：Morlet小波变换 MPSK信号 调制样式识别 相位的概率密度函数 

分 类 号：TP911[自动化与计算机技术]