Computer Engineering and Applications ›› 2022, Vol. 58 ›› Issue (11): 12-22.DOI: 10.3778/j.issn.1002-8331.2201-0055

• Research Hotspots and Reviews • Previous Articles     Next Articles

Overview of GNSS Spoofing Jamming Detection

ZHOU Yan, WANG Shanliang, YANG Wei, YI Jiong, ZHANG Shicang, CAI Chenglin   

  1. 1.School of Automation and Electronic Information, Xiangtan University, Xiangtan, Hunan 411105, China
    2.Changsha Haige Beidou Information Technology Co. Ltd., Changsha 410003, China
    3.Leihua Electronic Technology Research Institute, Aviation Industry Corporation of China, Wuxi, Jiangsu 214000, China
  • Online:2022-06-01 Published:2022-06-01

GNSS欺骗式干扰检测综述

周彦,王山亮,杨威,易炯,张世仓,蔡成林   

  1. 1.湘潭大学 自动化与电子信息学院,湖南 湘潭 411105
    2.长沙海格北斗信息技术有限公司,长沙 410003
    3.中国航空工业集团公司 雷华电子技术研究所,江苏 无锡 214000

Abstract: In recent years, with the wide application of satellite navigation systems in military monitoring, precision agriculture, traffic monitoring, resource exploration, disaster assessment and other fields, improving the safety and robustness of satellite navigation systems has become a research hotspot. This paper first introduces the principle and classification of satellite navigation spoofing jamming. According to the process from satellite signal generation to the final realization of positioning and navigation and based on statistics, the current spoofing interference detection technology is divided into six categories:based on navigation data information, based on spatial processing, based on RF front-end processing, based on baseband digital signal processing, based on positioning and navigation operation results and based on machine learning, and the performance of the detection methods used in each category is compared. Finally, the future spoofing interference detection is prospected from two aspects of real-time detection and comprehensive detection.

Key words: satellite navigation, spoofing jamming detection, spoofing jamming, safety, navigation data

摘要: 近年来,随着卫星导航系统在军事监测、精细农业、交通监控、资源勘探、灾害评估等领域的广泛应用,提高卫星导航系统的安全性和鲁棒性成为研究的热点。介绍了卫星导航欺骗式干扰的原理与分类,根据卫星信号从生成到最终实现定位导航这一过程和基于统计学层面将当前的欺骗式干扰检测技术分成基于导航数据信息、基于空间处理、基于射频前端处理、基于基带数字信号处理、基于定位导航运算结果和基于机器学习等六大类,并对每类采用的检测方法进行性能对比,从实时检测和综合检测两个方面对未来的欺骗式干扰检测进行展望。

关键词: 卫星导航, 欺骗式干扰检测, 欺骗式干扰, 安全性, 导航数据