Improved observation interval bounding for multi-GNSS integrity monitoring in urban navigation
- verfasst von
- Jingyao Su, Steffen Schön
- Abstract
Integrity monitoring is of great importance for Global Navigation Satellite Systems (GNSS) applications. Unlike classical approaches based on probabilistic assumptions, the alternative interval-based integrity approach depends on deterministic interval bounds as inputs. Different from a quadratic variance propagation, the interval approach has intrinsically a linear uncertainty propagation which is adequate to describe remaining systematic uncertainty. In order to properly characterize all ranging error sources and determine the improved observation interval bounds, a processing scheme is proposed in this contribution. We validated for a first time how the sensitivity analysis is feasible to determine uncertainty intervals for residual ionospheric errors and residual tropospheric errors, taking advantage of long-term statistics against reference data. Transforming the navigation problem into a convex optimization problem, the interval bounds are propagated from the range domain to the position domain. We implemented this strategy for multi-GNSS positioning in an experiment with static data from International GNSS Service (IGS) station Potsdam (POTS) and an experiment with kinematic data from a measurement campaign conducted in the urban area of Hannover, Germany, on August 26, 2020.
- Organisationseinheit(en)
-
Fakultät für Bauingenieurwesen und Geodäsie
Institut für Erdmessung
- Typ
- Aufsatz in Konferenzband
- Seiten
- 4141-4156
- Anzahl der Seiten
- 16
- Publikationsdatum
- 13.10.2021
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- ASJC Scopus Sachgebiete
- Angewandte Informatik, Software, Elektrotechnik und Elektronik
- Elektronische Version(en)
-
https://doi.org/10.33012/2021.18078 (Zugang:
Geschlossen)
