Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/92728
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Aeronautical and Aviation Engineering | en_US |
dc.creator | Wen, W | en_US |
dc.creator | Zhang, G | en_US |
dc.creator | Hsu, LT | en_US |
dc.date.accessioned | 2022-05-16T09:07:25Z | - |
dc.date.available | 2022-05-16T09:07:25Z | - |
dc.identifier.issn | 0018-9545 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/92728 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication Wen, W., Zhang, G., & Hsu, L. T. (2021). Gnss outlier mitigation via graduated non-convexity factor graph optimization. IEEE Transactions on Vehicular Technology, 71(1), 297-310 is available at https://doi.org/10.1109/TVT.2021.3130909 | en_US |
dc.subject | Adaptive tunning | en_US |
dc.subject | Factor graph optimization | en_US |
dc.subject | GNSS | en_US |
dc.subject | Graduated non-convexity | en_US |
dc.subject | Navigation | en_US |
dc.subject | NLOS | en_US |
dc.subject | Non-convex Geman McClure | en_US |
dc.subject | Urban canyons | en_US |
dc.title | GNSS outlier mitigation via graduated non-convexity factor graph optimization | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 297 | en_US |
dc.identifier.epage | 310 | en_US |
dc.identifier.volume | 71 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.doi | 10.1109/TVT.2021.3130909 | en_US |
dcterms.abstract | Accurate and globally referenced global navigation satellite system (GNSS) based vehicular positioning can be achieved in outlier-free open areas. However, the performance of GNSS can be significantly degraded by outlier measurements, such as multipath effects and non-line-of-sight (NLOS) receptions arising from signal reflections of buildings. Inspired by the advantage of batch historical data in resisting outlier measurements, in this paper, we propose a graduated non-convexity factor graph optimization (FGO-GNC) to improve the GNSS positioning performance, where the impact of GNSS outliers is mitigated by estimating the optimal weightings of GNSS measurements. Different from the existing local solutions, the proposed FGO-GNC employs the non-convex Geman McClure (GM) function to globally estimate the weightings of GNSS measurements via a coarse-to-fine relaxation. The effectiveness of the proposed method is verified through several challenging datasets collected in urban canyons of Hong Kong using automobile level and low-cost smartphone level GNSS receivers. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on vehicular technology, Jan. 2022, v. 71, no. 1, p. 297-310 | en_US |
dcterms.isPartOf | IEEE transactions on vehicular technology | en_US |
dcterms.issued | 2022-01 | - |
dc.identifier.scopus | 2-s2.0-85120575741 | - |
dc.identifier.eissn | 1939-9359 | en_US |
dc.description.validate | 202205 bckw | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | AAE-0011 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | The Hong Kong Polytechnic University | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 60132023 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Wen_Gnss_Outlier_Mitigation.pdf | Pre-Published version | 6.71 MB | Adobe PDF | View/Open |
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