GNSS spoofing detection using a fuzzy classifier based on time–frequency analysis of the autocorrelation function

Author:

Tohidi S.ORCID,Mosavi M. R.ORCID

Publisher

Springer Science and Business Media LLC

Reference49 articles.

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3. Borhani-Darian P, Li H, Wu P, Closas P (2020) Deep neural network approach to detect GNSS spoofing attacks. In: 33th Int. Tech. Meeting of the Satellite Division of the U.S. Inst. of Navigation GNSS ION'20, pp 3241–3252

4. Borio D (2013) PANOVA tests and their application to GNSS spoofing detection. IEEE Trans Aerosp Electron Syst 49:381–394

5. Broumandan A, Jafarnia-Jahromi A, Daneshmand S, Lachapelle G (2015) A network-based GNSS structural interference detection, classification and source localization. In: 28th Int. Tech. Meeting of the Satellite Division of the U.S. Inst. of Navigation GNSS ION'15, Tampa, Florida, pp 3358–3369

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