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Spoofing Detection and Mitigation in a Multi-correlator GPS Receiver Based on the Maximum Likelihood Principle

机译:基于最大似然原理的多相关GPS接收机中的欺骗检测与缓解

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摘要

As a structural interference, spoofing is difficult to detect by the target receiver while the advent of a repeater makes the implementation of spoofing much easier. Most existing anti-spoofing methods are merely capable of detecting the spoofing, i.e., they cannot effectively remove counterfeit signals. Therefore, based on the similarities between multipath and spoofing, the feasibility of applying multipath mitigation methods to anti-spoofing is first analyzed in this paper. We then propose a novel algorithm based on maximum likelihood (ML) estimation to resolve this problem. The tracking channels with multi-correlators are constructed and a set of corresponding steps of detecting and removing the counterfeit signals is designed to ensure that the receiver locks the authentic signals in the presence of spoofing. Finally, the spoofing is successfully executed with a software receiver and the saved intermediate frequency (IF) signals, on this basis, the effectiveness of the proposed algorithm is verified by experiments.
机译:作为一种结构性干扰,欺骗很难被目标接收器检测到,而中继器的出现使欺骗的实现更加容易。大多数现有的反欺骗方法仅能够检测到欺骗,即它们不能有效地去除伪造信号。因此,基于多路径与欺骗之间的相似性,本文首先分析了将多路径缓解方法应用于反欺骗的可行性。然后,我们提出了一种基于最大似然(ML)估计的新颖算法来解决此问题。构建具有多相关器的跟踪通道,并设计一组检测和消除伪造信号的相应步骤,以确保接收器在存在欺骗时锁定真实信号。最后,利用软件接收器成功进行了欺骗处理,并保存了中频信号,在此基础上,通过实验验证了该算法的有效性。

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