计算机工程与应用2024，Vol.60Issue(17)：62-73,12.DOI:10.3778/j.issn.1002-8331.2401-0330
利用机器学习的GNSS欺骗检测综述
Overview of GNSS Spoofing Detection Using Machine Learning
摘要
Abstract
In recent years,with the increasing importance of global satellite navigation,deception detection has become a hot research issue.As a low-cost method,machine learning has the ability to automatically learn rules from complex data,and has achieved good results in the Internet of things spoofing detection.Therefore,more and more studies have used it for GNSS spoofing detection.Firstly,starting from the basic process of GNSS spoofing detection based on machine learning,the data acquisition and preprocessing of GNSS detection using machine learning are described.Then,according to the role of machine learning in spoofing detection,GNSS spoofing detection based on machine learning is divided into two categories:GNSS spoofing detection based on signal classification and GNSS spoofing detection based on information verification.Finally,according to the existing research problems,the prospect of future development direction is put forward.关键词
机器学习/神经网络/全球卫星导航系统(GNSS)/欺骗检测/欺骗干扰Key words
machine learning/neural network/global navigation satellite system(GNSS)/spoofing detection/spoofing jamming分类
计算机与自动化引用本文复制引用
周雅兰,宋晓鸥..利用机器学习的GNSS欺骗检测综述[J].计算机工程与应用,2024,60(17):62-73,12.基金项目
国家自然科学基金(61801516). （61801516）
