基于支持向量机的GNSS欺骗式干扰多相关器检测方法  

GNSS Spoofing Jamming Multi-Correlator Detection Method Based on Support Vector Machine

作　　者：倪淑燕 付琦玮 陈世淼 祝新力 NI Shuyan;FU Qiwei;CHEN Shimiao;ZHU Xinli(Department of Electronic and Optical Engineering,Space Engineering University,Beijing 101416,China;Graduate School,Space Engineering University,Beijing 101416,China)

机构地区：[1]航天工程大学电子与光学工程系,北京101416 [2]航天工程大学研究生院,北京101416

出　　处：《电子信息对抗技术》2025年第2期24-31,共8页Electronic Information Warfare Technology

摘　　要：利用接收机相关器输出进行全球卫星导航系统(Global Navigation Satellite System,GNSS)的欺骗干扰检测是一种简单且有效的手段。现有的传统方法包括Ratio和Delta等,但是存在检测精度不高和检测效果不稳定等缺点。为消除传统方法受载波环路影响的弊端,提高检测效率,提出了基于支持向量机(Support Vector Machine,SVM)的GNSS欺骗式干扰多相关器检测方法。首先,通过软件接收机提取特征参数,利用同相支路与正交支路的多相关器输出,计算信号功率幅度差。然后,对信号功率幅度差进行乘积,获得更具代表性的特征参数。最后,训练SVM分类模型,利用模型进行欺骗信号检测。Spoofing jamming detection of GNSS using receiver correlator output is a simple and effective means.Existing traditional methods include Ratio and Delta,etc.,but there are drawbacks such as low detection accuracy and unstable detection effect.In order to eliminate the drawbacks of traditional methods affected by carrier loops and improve the detection efficiency,a multi-correlator detection method for GNSS spoofing jamming based on support vector machine(SVM)is proposed.Firstly,the feature parameters are extracted by the software receiver,and the signal power amplitude difference is calculated by utilizing the multi-correlator outputs of the in-phase branch and the orthogonal branch.Then,the signal power amplitude difference is multiplied to obtain more representative feature parameters.Finally,the SVM classification model is trained and the model is utilized for spoofed signal detection.

关 键 词：软件接收机 鉴别器 信号质量检测 SVM 欺骗干扰 

分 类 号：TN972.3[电子电信—信号与信息处理]