Identification of Authentic GNSS Signals in Time-Differenced Carrier Phase Measurements with a Software Defined Radio

Zhen Zhu, Sanjeev Gunawardena

Abstract:	Authentic and inauthentic GNSS signals could be differentiated in the carrier phase domain with the RANdom SAmple Consensus (RANSAC) algorithm. In this work, the algorithm is applied to measurements obtained with PyChips, a multi-frequency and multi-constellation GNSS SDR. RANSAC can be used to separate authentic signals from simulated or inauthentic ones in measurements from PyChips.
Published in:	Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022) September 19 - 23, 2022 Hyatt Regency Denver Denver, Colorado
Pages:	3570 - 3579
Cite this article:	Zhu, Zhen, Gunawardena, Sanjeev, "Identification of Authentic GNSS Signals in Time-Differenced Carrier Phase Measurements with a Software Defined Radio," Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022), Denver, Colorado, September 2022, pp. 3570-3579. https://doi.org/10.33012/2022.18453
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