Details
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS) |
| Pages | 421-429 |
| Number of pages | 9 |
| ISBN (electronic) | 978-1-6654-1772-3 |
| Publication status | Published - 2023 |
| Event | 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS) - Monterey, United States Duration: 24 Apr 2023 → 27 Apr 2023 https://www.ion.org/plans/ |
Publication series
| Name | IEEE/ION Position Location and Navigation Symposium |
|---|---|
| ISSN (Print) | 2153-358X |
| ISSN (electronic) | 2153-3598 |
Abstract
Keywords
- error modeling, fault detection, GNSS integrity, interval mathematics, set theory
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Mathematics(all)
- Control and Optimization
- Engineering(all)
- Aerospace Engineering
- Physics and Astronomy(all)
- Instrumentation
- Engineering(all)
- Electrical and Electronic Engineering
- Engineering(all)
- Automotive Engineering
Research Area (based on ÖFOS 2012)
- TECHNICAL SCIENCES
- Environmental Engineering, Applied Geosciences
- Geodesy, Surveying
- Navigation systems
- NATURAL SCIENCES
- Mathematics
- Mathematics
- Mathematical statistics
- TECHNICAL SCIENCES
- Environmental Engineering, Applied Geosciences
- Geodesy, Surveying
- Satellite geodesy
Cite this
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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 proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Towards a set-based detector for GNSS integrity monitoring
AU - Su, Jingyao
AU - Schön, Steffen
AU - Joerger, Mathieu
N1 - Funding Information: This work was supported by the German Research Foundation as part of the Research Training Group 2159: Integrity and Collaboration in Dynamic Sensor Networks (i.c.sens).
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - error modeling
KW - fault detection
KW - GNSS integrity
KW - interval mathematics
KW - set theory
UR - http://www.scopus.com/inward/record.url?scp=85162853627&partnerID=8YFLogxK
U2 - 10.1109/PLANS53410.2023.10139987
DO - 10.1109/PLANS53410.2023.10139987
M3 - Conference contribution
SN - 978-1-6654-1773-0
T3 - IEEE/ION Position Location and Navigation Symposium
SP - 421
EP - 429
BT - 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS)
T2 - 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS)
Y2 - 24 April 2023 through 27 April 2023
ER -