Improved observation interval bounding for multi-GNSS integrity monitoring in urban navigation

authored by: 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.
Organisation(s): Faculty of Civil Engineering and Geodetic Science
Institute of Geodesy
Type: Conference contribution
Pages: 4141-4156
No. of pages: 16
Publication date: 13.10.2021
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Computer Science Applications, Software, Electrical and Electronic Engineering
Electronic version(s): https://doi.org/10.33012/2021.18078 (Access: Closed)
: Details in the research portal "Research@Leibniz University"

BibTeX

@inproceedings{cc86863807f44ec4aad6e60748b2940c,
title = "Improved observation interval bounding for multi-GNSS integrity monitoring in urban navigation",
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.",
author = "Jingyao Su and Steffen Sch{\"o}n",
note = "Funding Information: This work was supported by the German Research Foundation (DFG) as part of the Research Training Group Integrity and Collaboration in Dynamic Sensor Networks (i.c.sens) [RTG 2159]. The authors gratefully acknowledge Helmholtz-Centre Potsdam GFZ German Research Centre for Geosciences for providing measurement data of POTS station and IGS for providing GNSS data and products. ; 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021 ; Conference date: 20-09-2021 Through 24-09-2021",
year = "2021",
month = oct,
day = "13",
doi = "10.33012/2021.18078",
language = "English",
pages = "4141--4156",
booktitle = "Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021",
publisher = "Institute of Navigation",
}