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Towards a set-based detector for GNSS integrity monitoring

verfasst von
Jingyao Su, Steffen Schön, Mathieu Joerger
Abstract

This paper aims to evaluate the performance of the set-based fault detection. This approach differs from probabilistic residual-based (RB) or solution separation (SS) fault detection and exclusion methods utilized in the Receiver Autonomous Integrity Monitoring (RAIM) and Advanced RAIM. In the basic positioning model, measurement-level intervals are constructed based on the investigated error models and propagated in a linear manner using interval mathematics and set theory. Convex polytope solutions provide a measure of observation consistency formulated as a constraint satisfaction problem. Consistency checks performed using set operations facilitate multiple-fault detection. Choosing set-emptiness as the detection criterion can alleviate the need for multiple test statistics. In this paper, we formulate the fault detection problem in the context of measurement intervals and propose a framework of integrity monitoring for the set-based detection. Considering a probabilistic error model, we implement the set-based detection methods and assess its integrity performance using Monte Carlo simulations. These evaluations will serve as a basis for further development of efficient estimators and integrity monitors.

Organisationseinheit(en)
Institut für Erdmessung
Graduiertenkolleg 2159: Integrität und Kollaboration in dynamischen Sensornetzen
Leibniz Forschungszentrum FZ:GEO
Externe Organisation(en)
Virginia Polytechnic Institute and State University (Virginia Tech)
Typ
Aufsatz in Konferenzband
Seiten
421-429
Anzahl der Seiten
9
Publikationsdatum
2023
Publikationsstatus
Veröffentlicht
Peer-reviewed
Ja
ASJC Scopus Sachgebiete
Elektronische, optische und magnetische Materialien, Steuerung und Optimierung, Luft- und Raumfahrttechnik, Instrumentierung, Elektrotechnik und Elektronik, Fahrzeugbau
Fachgebiet (basierend auf ÖFOS 2012)
Navigationssysteme, Mathematische Statistik, Satellitengeodäsie
Elektronische Version(en)
https://doi.org/10.1109/PLANS53410.2023.10139987 (Zugang: Geschlossen)
 

Details im Forschungsportal „Research@Leibniz University“