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非合作通信中调制识别算法研究进展
引用本文:黄知涛,杨杰,王翔,崔轩,王永芳.非合作通信中调制识别算法研究进展[J].科技导报(北京),2019,37(4):55-62.
作者姓名:黄知涛  杨杰  王翔  崔轩  王永芳
作者单位:国防科技大学,电子信息系统复杂电磁环境效应国家重点实验室,长沙410073;中国人民解放军海军东海舰队,宁波,315000
基金项目:国家自然科学基金项目(61401490)
摘    要: 概述了非合作通信中调制识别技术的概念、内涵;介绍了经典调制识别算法和智能调制识别算法的基本原理与处理流程,分析了每类算法的优势以及存在的问题;针对现有调制识别算法存在的问题,探讨了非合作通信中调制识别算法的发展方向。

关 键 词:非合作通信  调制识别  特征提取  最大似然  深度学习
收稿时间:2018-10-29

A Survey of modulation recognition algorithms in non-cooperative communication
HUANG Zhitao,YANG Jie,WANG Xiang,CUI Xuan,WANG Yongfang.A Survey of modulation recognition algorithms in non-cooperative communication[J].Science & Technology Review,2019,37(4):55-62.
Authors:HUANG Zhitao  YANG Jie  WANG Xiang  CUI Xuan  WANG Yongfang
Institution:1. State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha 410073, China;
2. East Sea Fleet, People's Liberation Army Navy of China, Ningbo 315000, China
Abstract:Based on a comprehensive study of the modulation recognition algorithm in the non-cooperative communication, this paper reviews the current research status of the communication signal classical modulation recognition algorithm and the intelligent modulation recognition algorithm based on the deep learning. The concept and the connotation of the modulation recognition technology in the noncooperative communication are explained, focusing on the basic principle and the processing flow of the classical modulation recognition algorithm and the intelligent modulation recognition algorithm, the advantages and disadvantages of each kind of algorithms are analyzed, and the future development direction of the modulation recognition algorithm in the non-cooperative communication are discussed.
Keywords:non-cooperative communication  modulation recognition  feature extraction  maximum likelihood  deep learning  
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