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Spoofing detection, classification and cancelation (SDCC) receiver architecture for a moving GNSS receiver

机译：移动GNSS接收器的欺骗检测，分类和消除（SDCC）接收器体系结构

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摘要

Spoofing in the form of transmitting fake GNSS signals is a deliberate attack that aims to mislead GNSS receivers into generating false position/time solutions. Current work on GNSS spoofing has mainly focused on spoofing detection where the proposed algorithms only indicate the presence of spoofing attacks. A new architecture consisting of spoofing detection, authentic/spoofing signal classification and spoofing cancelation known as spoofing detection, classification and cancelation for moving GNSS receivers is proposed. Predespreading and acquisition level analysis are performed to detect the presence of spoofing interference. The receiver motion is then used to classify the signals tracked into two groups, namely spoofing and authentic signal sets. A successive spoofing cancelation method is then developed to remove the spoofing signals from the raw digitized samples. It is shown that canceling out the spoofing signals removes multiple access interference and significantly improves the authentic signals' detectability and tracking performance. Finally, after spoofing cancelation, authentic signals are acquired and tracked and their corresponding measurements are passed to a PVT engine for a reliable position solution. The proposed receiver architecture is analyzed in the acquisition, tracking and positioning layers.
机译：以传输虚假GNSS信号的形式进行的欺骗是蓄意攻击，旨在误导GNSS接收器生成虚假的位置/时间解决方案。当前有关GNSS欺骗的工作主要集中在欺骗检测上，其中所提出的算法仅表明存在欺骗攻击。提出了一种由欺骗检测，真实/欺骗信号分类和欺骗消除组成的新架构，称为移动GNSS接收器的欺骗检测，分类和消除。进行预扩频和捕获级别分析以检测欺骗干扰的存在。然后，将接收器的运动用于将跟踪到的信号分为两组，即欺骗和真实信号集。然后开发了一种连续的欺骗消除方法，以从原始数字化样本中删除欺骗信号。结果表明，消除欺骗信号可以消除多路访问干扰，并显着提高真实信号的可检测性和跟踪性能。最终，在消除欺骗之后，将获取并跟踪真实的信号，并将其相应的测量结果传递给PVT引擎，以提供可靠的位置解决方案。在采集，跟踪和定位层中分析了提出的接收器体系结构。

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