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通信信号调制识别综述
引用本文:张海燕,闫文君,张立民,李忠超.通信信号调制识别综述[J].海军航空工程学院学报,2022,37(1):126-132.
作者姓名:张海燕  闫文君  张立民  李忠超
作者单位:海军航空大学,山东烟台264001,73022部队,广东惠州516000
基金项目:信息系统安全技术重点实验室基金;国家自然科学基金
摘    要:随着频谱信息资源愈发紧张,信号的调制处理方式也愈发多样化.由于通信信号的调制识别广泛应用于民用和军用领域,所以,对调制方式进行识别的研究具有极其重要的意义与战术价值.首先,根据大量文献,对基于最大似然函数和特征提取的经典调制识别方法进行了系统地梳理;其次,从常用数据集、深度神经网络结构和现有识别算法等方面,着重介绍了深...

关 键 词:特征提取  深度学习  深度神经网络

An Overview of Communication Signal Modulation Recognition
ZHANG Haiyan,YAN Wenjun,ZHANG Limin,LI Zhongchao.An Overview of Communication Signal Modulation Recognition[J].Journal of Naval Aeronautical Engineering Institute,2022,37(1):126-132.
Authors:ZHANG Haiyan  YAN Wenjun  ZHANG Limin  LI Zhongchao
Institution:Naval Aviation University, Yantai Shandong 264001, China; The 73022nd Unit of PLA, Huizhou Guangdong 516000, China
Abstract:With the increasing shortage of spectrum information resources, signal modulation processing methods are increas.ingly diversified. Modulation recognition of communication signals is widely used in civil and military fields. Therefore, theresearch on modulation identification technology has extremely important research significance and tactical value. Firstly,based on a large number of literatures, the methods based on maximum likelihood function and feature extraction are system.atically reviewed. Secondly, the deep learning recognition method is introduced from common data sets, deep neural networkstructure and existing recognition algorithms. Finally, from the perspective of unsupervised learning, open set recognitionand engineering implementation, the future development direction of modulation recognition method is prospected.
Keywords:feature extraction  deep learning  deep neural network
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