基于小波分解的OFDM信号与单载波信号识别方法  

Recognition method of OFDM signal and single carrier signal based on wavelet decomposition

作　　者：窦立超 程伟[1] 周凯福 都兴霖 DOU Lichao;CHENGWei;ZHOU Kaifu;DU Xinglin(Air Force EarlyWarning Academy,Wuhan 430019,China)

机构地区：[1]空军预警学院

出　　处：《空军预警学院学报》2019年第5期362-366,共5页Journal of Air Force Early Warning Academy

摘　　要：通信信号调制方式的自动识别是软件无线电和非合作目标通信的关键技术.针对航空信道下OFDM信号与单载波信号的识别问题,提出了基于小波分解得到信号概貌信息均值方差特征的调制识别方法,分析了本文方法对OFDM信号和单载波信号的识别性能,以及OFDM信号子载波数对识别率的影响,并与已有方法进行性能对比分析,通过计算机仿真验证了该方法的有效性.Automatic identification of communication signal modulation is a key technology for software radio and non-cooperative target communication.This paper aims at the problem of OFDM signal and single carrier signal recognition in aviation channel to propose a modulation identification method based on wavelet decomposition to obtain the mean variance characteristics of signal profile information.Then the paper analyzes the recognition performance of OFDM signal and single carrier signal,as well as the influence of the number of subcarriers of OFDM signal on the recognition rate,and finally makes a performance comparison with the existing methods.Computer simulation results verify the effectiveness of the proposed method.

关 键 词：OFDM 航空信道 小波分解 概貌信息均值方差 调制识别 

分 类 号：TN914[电子电信—通信与信息系统]