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• W2732835331 abstract "Spoofing attacks are threatening the global navigation satellite system (GNSS). The maximum likelihood estimation (MLE)-based positioning technique is a direct positioning method originally developed for multipath rejection and weak signal processing. We find this method also has a potential ability for GNSS anti-spoofing since a spoofing attack that misleads the positioning and timing result will cause distortion to the MLE cost function. Based on the method, an estimation-cancellation approach is presented to detect spoofing attacks and recover the navigation solution. A statistic is derived for spoofing detection with the principle of the generalized likelihood ratio test (GLRT). Then, the MLE cost function is decomposed to further validate whether the navigation solution obtained by MLE-based positioning is formed by consistent signals. Both formulae and simulations are provided to evaluate the anti-spoofing performance. Experiments with recordings in real GNSS spoofing scenarios are also performed to validate the practicability of the approach. Results show that the method works even when the code phase differences between the spoofing and authentic signals are much less than one code chip, which can improve the availability of GNSS service greatly under spoofing attacks." @default.
• W2732835331 created "2017-07-14" @default.
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• W2732835331 date "2017-06-30" @default.
• W2732835331 modified "2023-10-01" @default.
• W2732835331 title "GNSS Spoofing Detection and Mitigation Based on Maximum Likelihood Estimation" @default.
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• W2732835331 doi "https://doi.org/10.3390/s17071532" @default.
• W2732835331 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5539650" @default.
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