Two-stage Neural Network based Combined Interference Classification and Recognition for a GNSS receiver
作者单位：School of Information and Communications Engineering Xi’an Jiaotong University State Key Laboratory of Geo-information Engineering Xi’an Research Institute of Surveying and Mapping
会议名称：《第十一届中国卫星导航年会》
会议日期：2020年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 080401[工学-精密仪器及机械] 081105[工学-导航、制导与控制] 0804[工学-仪器科学与技术] 0835[工学-软件工程] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
关 键 词：GNSS Suppression Interference Spoofing Interference Classification and Recognition Back Propagation Neural Network
摘 要：Under the complex war environment based on Global Navigation Satellite Systems(GNSS), suppression interference and spoofing interference would be used in combination by enemy. Thus, the difficulty of