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Communication dans un congrès

Signal Quality Monitoring Design for Galileo E5a and Galileo E1C signals

Abstract : Galileo E1C, the pilot component of the E1 Open Service signal (CBOC(6,1,1/11) modulation), Galileo E5a and GPS L5 (BPSK(10) modulation) are signals that will be used by civil aviation receivers for pseudorange computation. To meet stringent requirements defined for civil aviation GNSS receivers, the characterization of distortions which could affect a GNSS signal in a hazardous way is required. In particular, expected signal distortions generated at payload level are described by Threat Models (TMs). Distortions incorporated in the TM are also called Evil WaveForm (EWF). These TMs, and their associated parameter ranges, referred to as Threat Space (TS), are powerful and necessary tools to design and test the performance of Signal Quality Monitor (SQM). The SQM is a mean to detect the presence of dangerous signal distortions and is necessary to protect users with high requirements in terms of integrity, accuracy, availability, and continuity (for example civil aviation users). Nowadays, this monitoring task is performed by GBAS and SBAS reference stations for GPS L1 C/A to warn the user in a timely manner. In this paper, SQMs for Galileo E1C and Galileo E5a will be designed and compared using a new representation introduced in [1]. Using this representation, different SQMs are compared and an optimized SQM is proposed to monitor signal distortions on Galileo E5a and Galileo E1C signals.
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Contributeur : Laurence Porte Connectez-vous pour contacter le contributeur
Soumis le : lundi 22 mai 2017 - 11:34:51
Dernière modification le : mardi 15 février 2022 - 09:56:02
Archivage à long terme le : : mercredi 23 août 2017 - 14:32:52


SQM design for Galileo E5a and...
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  • HAL Id : hal-01525779, version 1



Jean-Baptiste Pagot, Olivier Julien, Paul Thevenon, Francisco Amarillo-Fernandez, Margaux Cabantous. Signal Quality Monitoring Design for Galileo E5a and Galileo E1C signals. Navitec 2016, 8th Navigation conference, Dec 2016, München, Germany. ⟨hal-01525779⟩



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