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Examples of user algorithms implementing ARAIM techniques for integrity performance prediction, procedures development and pre-flight operations

Paternostro, S.; Moore, Terry; Hill, Chris; Atkin, J.; De Maere, G.; Morvan, Herve

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Authors

S. Paternostro

Terry Moore

Chris Hill

JASON ATKIN jason.atkin@nottingham.ac.uk
Associate Professor

Herve Morvan



Abstract

Advanced Receiver Autonomous Integrity Monitoring (ARAIM) is a new Aircraft Based Augmentation System (ABAS) technique, firstly presented in the two reports of the GNSS Evolutionary Architecture Study (GEAS). The ARAIM technique offers the opportunity to enable GNSS receivers to serve as a primary means of navigation, worldwide, for precision approach down to LPV-200 operation, while at the same time potentially reducing the support which has to be provided by Ground and Satellite Based Augmented Systems (GBAS and SBAS).

Citation

Paternostro, S., Moore, T., Hill, C., Atkin, J., De Maere, G., & Morvan, H. (2017). Examples of user algorithms implementing ARAIM techniques for integrity performance prediction, procedures development and pre-flight operations. In 2016 8th ESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITEC) (1-15). https://doi.org/10.1109/NAVITEC.2016.7849330

Conference Name 2016 8th ESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing, NAVITEC 2016
Conference Location Noordwijk, Netherlands
Start Date Dec 14, 2016
End Date Dec 16, 2016
Acceptance Date Oct 23, 2016
Online Publication Date Feb 13, 2017
Publication Date 2017
Deposit Date Mar 16, 2017
Publicly Available Date Mar 29, 2024
Peer Reviewed Peer Reviewed
Pages 1-15
Series ISSN 2325-5455
Book Title 2016 8th ESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITEC)
ISBN 978-1-5090-3886-2
DOI https://doi.org/10.1109/NAVITEC.2016.7849330
Keywords Advanced Receiver Autonomous Integrity Monitoring (ARAIM); Global Navigation Satellite System (GNSS); performance prediction; aircraft trajectory; shadowing' operational research; optimization; User Algorithm
Public URL https://nottingham-repository.worktribe.com/output/846127
Publisher URL http://ieeexplore.ieee.org/document/7849330/

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