Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Fabian Rothmaier"'
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 57:3633-3647
Autor:
José A. del Peral-Rosado, Patric Nolle, Fabian Rothmaier, Sara M. Razavi, Gustav Lindmark, Xiaolin Jiang, Deep Shrestha, Fredrik Gunnarsson, Sagar Parsawar, Rakesh Mundlamuri, Florian Kaltenberger, Niilo Sirola, Olli Särkkä, Uzair A. Noman, Juha Roström, Kim Vaarala, Pasi Miettinen, Stefano Garlaschi, Luca Canzian, Huseyin Babaroglu, Elizaveta Rastorgueva-Foi, Matias Turunen, Jukka Talvitie, Detlef Flachs
Publikováno v:
ION GNSS+, The International Technical Meeting of the Satellite Division of The Institute of Navigation.
Publikováno v:
ION GNSS+, The International Technical Meeting of the Satellite Division of The Institute of Navigation.
Publikováno v:
NAVIGATION. 68:243-258
In this paper, we present an algorithmic framework for signal-geometry-based approaches of GNSS spoofing detection. We formulate a simple vs. simple hypothesis test independent of nuisance parameters that results in significantly reduced missed detec
Autor:
Leila Taleghani, Fabian Rothmaier, Yu-Hsuan Chen, Sherman Lo, Todd Walter, Dennis Akos, Benon Granite Gattis
Publikováno v:
The International Technical Meeting of the The Institute of Navigation.
Publikováno v:
Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021).
In this paper we attempt to provide continuity and integrity guarantees despite the presence of a spoofing attack. Using a software defined radio (SDR), we assign two channels per PRN allowing us to track both the authentic and spoofed signal. We emp
Publikováno v:
Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021).
Robust GNSS interference and spoof detection is a desirable feature to have in many receivers, particularly those used for safety or economically critical activities. Using the combination of automatic gain control (AGC) and carrier to noise ratio (C
Publikováno v:
Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021).
This paper is an application example of a general framework to combine an arbitrary number of metrics for GNSS spoofing detection using the Generalized Likelihood Ratio Test (GLRT). The framework maximizes robustness to wide ranges of attack modes wh
Publikováno v:
Proceedings of the 2021 International Technical Meeting of The Institute of Navigation.
In this paper we present an alternative approach to spoofing mitigation. We leverage the fact that under most attack modes, both the authentic and spoofed signals are received by the victim. Once an attack is detected by conventional spoofing detecti
Autor:
Fabian Rothmaier
Publikováno v:
Proceedings of the 33rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2020).
In this paper we present a sequential likelihood ratio test to detect a GNSS spoofing attack using information from multiple measurements. We develop an analytical solution for the test’s detection threshold that can be computed online by the recei