基于复合SQM 方差的GNSS 欺骗式干扰检测算法#br#

taptap下载安装安卓学报 ›› 2020, Vol. 38 ›› Issue (4): 7-12.

基于复合SQM 方差的GNSS 欺骗式干扰检测算法#br#

王文益，龚婧

taptap下载安装安卓天津市智能信号与图像处理重点实验室，天津300300

收稿日期:2020-01-06 修回日期:2020-03-07 出版日期:2020-08-27 发布日期:2020-08-27
作者简介:王文益（1980—），男，湖北襄阳人，教授，博士，研究方向为卫星导航抗干扰、自适应信号处理.

GNSS spoofing detection algorithm based on composite SQM variance#br#

WANG Wenyi, GONG Jing#br#

Intelligent Signal and Image Processing Key Lab of Tianjin, CAUC, Tianjin 300300, China

Received:2020-01-06 Revised:2020-03-07 Online:2020-08-27 Published:2020-08-27

摘要/Abstract

摘要： 由于全球卫星导航系统（GNSS）信号结构的开放性和脆弱性使其易受欺骗及干扰。信号质量监视(SQM）技术已被证明可用于检测欺骗式干扰攻击，而在特定欺骗情况下仅使用单个SQM 算法已无法满足即时、高性能的检测需求，因此，提出一种检测码跟踪环中复合SQM 指标变化的欺骗干扰检测方法，该方法基于复合SQM 方差值变化来检测欺骗，利用TEXBAT 数据库实采信号进行实验分析。实验结果表明：该方法在不增加算法复杂度基础上，能在较短时间内检测到欺骗攻击，且检测性能优于复合SQM 算法。

关键词: 卫星导航, 欺骗式干扰, 码跟踪环, 复合SQM, 移动方差

Abstract: GNSS is vulnerable to spoofing and interference due to its open signal structure and weak signal power. SQM has been proved being able to detect spoofing attacks. However, due to the increasing variety of existing spoofing types, a single SQM algorithm in specific spoofing situations can no longer meet the need for real-time and high performance detection of spoofing attacks. A spoofing detection method is proposed to detect the change of composite SQM in the detection code tracking loop, which can detect the existence of spoofing based on the change of variance value of composite SQM and conduct experimental analysis with actual signals of TEXBAT.
Experimental results show that this method can detect spoofing attacks in a short time without increasing the complexity of the algorithm with better performance than that of the composite SQM algorithm.

Key words: GNSS, spoofing, code tracking loop, composite SQM, moving-variance

中图分类号:

V324.2+4

王文益, 龚婧. 基于复合SQM 方差的GNSS 欺骗式干扰检测算法#br#[J]. taptap下载安装安卓学报, 2020, 38(4): 7-12.

WANG Wenyi, GONG Jing. GNSS spoofing detection algorithm based on composite SQM variance#br#[J]. Journal of Civil Aviation University of China, 2020, 38(4): 7-12.

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