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基于时频混合矩的小波调制信号识别
引用本文:李丽月,唐向宏,赵玲,李双霞.基于时频混合矩的小波调制信号识别[J].杭州电子科技大学学报,2009,29(5).
作者姓名:李丽月  唐向宏  赵玲  李双霞
作者单位:杭州电子科技大学通信工程学院,浙江,杭州,310018 
基金项目:浙江省自然基金资助项目,浙江省大学生创新创业孵化资助项目 
摘    要:小波调制信号是一种特殊的调制信号,该文基于小波调制信号独特的时频特征,利用自适应优化核时频分布方法,探讨基于时频混合矩的多载波调制信号的识别。仿真表明,该方法不仅能将小波调制与OFDM信号进行分类,同时还能对不同调制级的小波调制信号进行分类。

关 键 词:小波调制  时频分布  自适应优化核  时频混合矩

Identification of Wavelet Modulation Signals Based on Time-Frequency Mixed Moment
LI Li-yue; TANG Xiang-hong; ZHAO Ling; LI Shuang-xia.Identification of Wavelet Modulation Signals Based on Time-Frequency Mixed Moment[J].Journal of Hangzhou Dianzi University,2009,29(5).
Authors:LI Li-yue; TANG Xiang-hong; ZHAO Ling; LI Shuang-xia
Affiliation:LI Li-yue; TANG Xiang-hong; ZHAO Ling; LI Shuang-xia S(chooolCf ommunicationE ngineeringH; angzhouD ianzUi niversityH; angzhoZu hejiang310018; China);
Abstract:Wavelet modulation(WM) signal is a special kind of modulation signal.Based on the time-frequency characteristics of WM signal,this paper uses the adaptive optimal kernel(AOK) time-frequency analysis method to discuss the identification method of multi-carrier modulation signals with the mixed moments of AOK time-fre-quency distribution as classification feature.Simulation results show that,this method can not only separate wavelet modulation signal from OFDM signal,but also can identify wavelet modulation s...
Keywords:wavelet modulation  time-frequency distribution  adaptive optimal kernel  time-frequency mixed moments
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