基于SCB方差的GNSS欺骗式干扰检测算法

GNSS spoofing interference detection based on variance of SCB

随着全球卫星导航系统欺骗器的类型越来越多样,检测欺骗攻击已成为一个迫切需要解决的全球性问题。由于大多数欺骗过程不会引起信号参数的显著变化,使成功检测欺骗的难度加大。本文首先分析了中级欺骗攻击过程及欺骗信号模型,接着提出一种检测码跟踪环中过零点S曲线偏差(S curve bias,SCB)方差值变化的中级欺骗干扰检测方法,并利用德克萨斯州大学无线电导航实验室公开的全球定位系统卫星信号数据库中的实采信号进行实验分析,比较了原始SCB算法、Ratio算法、复合信号质量监视算法以及将方差分别应用于以上3种算法的检测性能。实验结果表明,SCB方差检测算法的性能更优。

With the increasing types of global navigation satellite system(GNSS)spoofing devices,the detection of spoofing attacks has become an urgent problem in the world.Most of the spoofing processes do not cause significant changes in the signal parameters,which makes it more difficult to detect spoofing successfully.In this paper,intermediate spoofing attack and signal model are firstly analyzed.Then,an intermediate spoofing interference detection method for the fluctuation of zero-crossing variation of S curve bias(SCB)in code tracking loop is proposed.After that,the real signals from texas spoofing test battery(TEXBAT),which is a public database of global position system(GPS)satellite signals issued by the radio navigation laboratory of the university of Texas.The detection performances of the original SCB algorithm,Ratio algorithm and composite signal quality monitor algorithm and the varience applied to the above three algorithms are compared.Experimental results show that the SCB variance detection algorithm has better performance.