Integrity monitoring of Global Navigation Satellite System/Inertial Navigation System integrated navigation system based on dynamic fading filter optimisation Article Swipe
Zhipeng Wang
,
Xin Li
,
Yanbo Zhu
,
Qiang Li
,
Kun Fang
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1049/rsn2.12199
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1049/rsn2.12199
In the application of integrity monitoring of Global Navigation Satellite System (GNSS)/Inertial Navigation System integrated navigation system in complex environments, such as vegetation covered areas, the Kalman filtering (KF) has the disadvantages of low positioning precision, poor performance of fault identification and error bounds. This study proposes an integrity monitoring method based on dynamic fading filter optimisation. According to the real‐time updates of filtering innovation, a fading filtering algorithm is designed, which can adjust the fading factor dynamically. The dynamic fading filtering algorithm is then combined with the fault identification algorithm, which integrates chi‐square and multiple solution separation. An optimisation strategy of setting a fading period to speed up the filter convergence is proposed. The simulation results show that compared with the KF, the dynamic fading filtering reduces the standard deviations of positioning errors by 26%, 39%, and 26%, respectively, in the east, north and up directions. By reducing the filter convergence period, the proposed dynamic fading filtering can enhance the accuracy of the identification results when the subsequent GNSS fault is minor. It can shorten the identification time to about 20% when the subsequent fault is large. The dynamic fading filtering can also limit the state errors below the bounds correctly.
Related Topics
Concepts
Inertial navigation system
Fading
Navigation system
Computer science
Satellite system
Dead reckoning
Satellite navigation
Satellite
Real-time computing
Remote sensing
Global Positioning System
Inertial frame of reference
Telecommunications
Engineering
Aerospace engineering
GNSS applications
Geography
Quantum mechanics
Decoding methods
Physics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1049/rsn2.12199
- OA Status
- gold
- Cited By
- 4
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3217444551
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3217444551Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1049/rsn2.12199Digital Object Identifier
- Title
-
Integrity monitoring of Global Navigation Satellite System/Inertial Navigation System integrated navigation system based on dynamic fading filter optimisationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-11-19Full publication date if available
- Authors
-
Zhipeng Wang, Xin Li, Yanbo Zhu, Qiang Li, Kun FangList of authors in order
- Landing page
-
https://doi.org/10.1049/rsn2.12199Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1049/rsn2.12199Direct OA link when available
- Concepts
-
Inertial navigation system, Fading, Navigation system, Computer science, Satellite system, Dead reckoning, Satellite navigation, Satellite, Real-time computing, Remote sensing, Global Positioning System, Inertial frame of reference, Telecommunications, Engineering, Aerospace engineering, GNSS applications, Geography, Quantum mechanics, Decoding methods, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 1, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
25Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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