Towards a set-based detector for GNSS integrity monitoring

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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External Research Organisations

  • Virginia Polytechnic Institute and State University (Virginia Tech)
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Details

Original languageEnglish
Title of host publication2023 IEEE/ION Position, Location and Navigation Symposium (PLANS)
Pages421-429
Number of pages9
ISBN (Electronic)978-1-6654-1772-3
Publication statusPublished - 2023
Event2023 IEEE/ION Position, Location and Navigation Symposium (PLANS) - Monterey, United States
Duration: 24 Apr 202327 Apr 2023
https://www.ion.org/plans/

Publication series

NameIEEE/ION Position Location and Navigation Symposium
ISSN (Print)2153-358X
ISSN (Electronic)2153-3598

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.

Keywords

    error modeling, fault detection, GNSS integrity, interval mathematics, set theory

ASJC Scopus subject areas

Research Area (based on ÖFOS 2012)

Cite this

Towards a set-based detector for GNSS integrity monitoring. / Su, Jingyao; Schön, Steffen; Joerger, Mathieu.
2023 IEEE/ION Position, Location and Navigation Symposium (PLANS). 2023. p. 421-429 (IEEE/ION Position Location and Navigation Symposium).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Su, J, Schön, S & Joerger, M 2023, Towards a set-based detector for GNSS integrity monitoring. in 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS). IEEE/ION Position Location and Navigation Symposium, pp. 421-429, 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS), Monterey, California, United States, 24 Apr 2023. https://doi.org/10.1109/PLANS53410.2023.10139987
Su, J., Schön, S., & Joerger, M. (2023). Towards a set-based detector for GNSS integrity monitoring. In 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS) (pp. 421-429). (IEEE/ION Position Location and Navigation Symposium). https://doi.org/10.1109/PLANS53410.2023.10139987
Su J, Schön S, Joerger M. Towards a set-based detector for GNSS integrity monitoring. In 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS). 2023. p. 421-429. (IEEE/ION Position Location and Navigation Symposium). doi: 10.1109/PLANS53410.2023.10139987
Su, Jingyao ; Schön, Steffen ; Joerger, Mathieu. / Towards a set-based detector for GNSS integrity monitoring. 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS). 2023. pp. 421-429 (IEEE/ION Position Location and Navigation Symposium).
Download
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