Advanced RAIM and Local Effects Models for Rail, Maritime and UAVs Sectors
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Date
Authors
De Toro De Murga, J.
Fidalgo, J.
Domínguez, E.
Sanz, C.
Moreno, G.
Buendia, F.
Labrador, E.
Mistrapau, F.
Clopot, R.
Cezón, A.
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MDPI
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© 2025 by the authors. Licensee MDPI, Basel, Switzerland.
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CC BY 4.0
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Abstract
Advanced Receiver Autonomous Integrity Monitoring (ARAIM) represents an advancement over RAIM, designed to utilize dual-frequency and multi-constellation technologies. Originally developed for aviation, the European Commission (EC) is now exploring its broader application. This paper examines the adaptation of ARAIM for rail, maritime, and Unmanned Aerial Vehicles (UAVs) sectors. It briefly discusses aspects of the integrity concept, including architecture and user algorithms while the main focus is on characterizing local error models for local effects using real data campaigns.
Keywords: ARAIM; integrity; local errors; rail; maritime; UAVs
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Citation
de Toro, J., Sanz, C., Labrador, E., Clopot, R., Mistrapau, F., Fidalgo, J., Domínguez, E., Moreno, G., Buendía, F., Cezón, A., Snijders, M., Engwerda, H., Casals, J., Damy, S., Sgammini, M., & Boyero, J. P. (2025). Advanced Receiver Autonomous Integrity Monitoring and Local Effect Models for Rail, Maritime, and Unmanned Aerial Vehicles Sectors. Engineering Proceedings, 88(1), 27. https://doi.org/10.3390/engproc2025088027