Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/93579
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Aeronautical and Aviation Engineering | en_US |
dc.creator | Wen, W | en_US |
dc.creator | Meng, Q | en_US |
dc.creator | Hsu, LT | en_US |
dc.date.accessioned | 2022-07-14T01:45:38Z | - |
dc.date.available | 2022-07-14T01:45:38Z | - |
dc.identifier.isbn | 9780936406299 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/93579 | - |
dc.description | 34th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2021), September 20-24, 2021, St. Louis, Missouri | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Navigation | en_US |
dc.rights | Posted with permission of the author. | en_US |
dc.rights | The following publication Wen, Weisong, Meng, Qian, Hsu, Li-Ta, "Integrity Monitoring for GNSS Positioning Via Factor Graph Optimization in Urban Canyons," Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), St. Louis, Missouri, September 2021, pp. 1508-1515 is first published by the Institute of Navigation and is available at https://doi.org/10.33012/2021.18157. | en_US |
dc.title | Integrity monitoring for GNSS positioning via factor graph optimization in urban canyons | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 1508 | en_US |
dc.identifier.epage | 1515 | en_US |
dc.identifier.doi | 10.33012/2021.18157 | en_US |
dcterms.abstract | Fault detection and exclusion (FDE) is significant for integrity monitoring of GNSS positioning for autonomous systems with navigation requirements. Moreover, the urban canyon scenario introduces additional challenges to the existing FDE for integrity monitoring, causing missed or false alarms, due to the significantly increased percentage of fault measurements. This paper proposed a sliding window aided FDE for GNSS positioning based on factor graph optimization (FGO) to alleviate these key issues. Different from the existing snapshot-based and the sequential-based (e.g. Extended Kalman filter) integrity monitoring methods where only the current or two consecutive epochs of measurements are considered in the FDE process, the proposed method in this paper improves the measurement redundancy with the help of the sliding window structure. Meanwhile, the GNSS measurements inside the sliding window are considered multiple times which enables the reconsideration of fault measurements. Moreover, the FGO employs multiple iterations and re-linearizations which improves the initial guess of the state estimation for FDE. The effectiveness of the proposed method is verified through a challenging dataset collected in urban canyons of Hong Kong using automobile-level low-cost GNSS receivers. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), St. Louis, Missouri, September 2021, p. 1508-1515 | en_US |
dcterms.issued | 2021 | - |
dc.identifier.scopus | 2-s2.0-85120865791 | - |
dc.relation.ispartofbook | Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), St. Louis, Missouri, September 2021 | en_US |
dc.relation.conference | International Technical Meeting of the Satellite Division of The Institute of Navigation [ION GNSS] | en_US |
dc.description.validate | 202207 bckw | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | AAE-0033 | - |
dc.description.fundingSource | Self-funded | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 60131841 | - |
Appears in Collections: | Conference Paper |
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Wen_Integrity_Monitoring_Gnss.pdf | 1.02 MB | Adobe PDF | View/Open |
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