现代电子技术2016，Vol.39Issue(23)：9-12,4.DOI:10.16652/j.issn.1004-373x.2016.23.003
基于峰度和小波变换的超短波信号调制识别
Ultrashort wave signal modulation recognition based on wavelet transform and kurtosis
摘要
Abstract
Aiming at three specific modulation modes of FM,MSK and QPSK,the effect of differentiating MSK and QPSK modulation signals with wavelet transform amplitude variance is poor in white Gaussian noise(WGN)environment,and the maxi⁃mum instantaneous amplitude of zero center normalized spectral density has bad effect to recognize the FM,MSK and QPSK mo⁃dulation signals under the conditions of different signal⁃to⁃noise ratios,so the characteristic quantity method based on kurtosis and wavelet transform used for signal classification and recognition is put forward,in which the kurtosis is used for type identifi⁃cation of analog modulation signal and digital modulation signal,and then the characteristic quantity extracted on the basis of wavelet transform coefficient is used to recognize and classify the two digital modulation signals. The decision tree classification method is adopted to carry out simulation verification of the method by means of Matlab. The simulation results show this method has better recognition effect.关键词
调制识别/超短波信号/峰度/小波变换/高斯白噪声Key words
modulation recognition/ultrashort wave signal/kurtosis/wavelet transform/WGN分类
信息技术与安全科学引用本文复制引用
谢跃辉,张一闻,赵亚欣,宋德鹏..基于峰度和小波变换的超短波信号调制识别[J].现代电子技术,2016,39(23):9-12,4.基金项目
武警总部研究基金项目 （）
