Use of GNSS Doppler for Prediction in Kalman Filtering for Smartphone Positioning

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dc.contributor.authorAgarwal, Naman
dc.contributor.authorO'Keefe, Kyle
dc.date.accessioned2024-01-03T16:54:39Z
dc.date.available2024-01-03T16:54:39Z
dc.date.issued2023-11-28
dc.description.abstractThis article demonstrates an alternative approach that uses global navigation satellite system (GNSS) Doppler measurements in a Kalman filter (KF) to improve the accuracy of GNSS smartphone positioning. The proposed method automates the process of estimating the uncertainty of the dynamics model of the system, which is still a challenge for the conventional KF-based GNSS positioning methods that require heuristic tuning. Automation of dynamics model uncertainty estimation also demonstrates notable improvement in GNSS outlier detection or fault detection and exclusion. In addition, this article will perform a quality assessment of the GNSS observations obtained from two Android smartphones and investigate the performance of the proposed method when using GPS L1 + Galileo E1 signals compared to GPS L5 + Galileo E5a signals.
dc.description.grantingagencyNatural Sciences and Engineering Research Council (NSERC)
dc.description.sponsorshipNSERC CREATE Program on Multi-sensor Systems for Navigation and Mapping, [funding reference number 495568-2017]
dc.identifier.citationAgarwal, N., & O’Keefe, K. (2023). Use of GNSS Doppler for Prediction in Kalman Filtering for Smartphone Positioning. IEEE Journal of Indoor and Seamless Positioning and Navigation, 1, 151–160. https://doi.org/10.1109/JISPIN.2023.3337188
dc.identifier.doi10.1109/JISPIN.2023.3337188
dc.identifier.grantnumber495568-2017
dc.identifier.urihttps://hdl.handle.net/1880/117744
dc.identifier.urihttps://doi.org/10.11575/PRISM/42587
dc.language.isoenen
dc.publisherIEEE Journal of Indoor and Seamless Positioning and Navigation
dc.publisher.facultySchulich School of Engineeringen
dc.publisher.hasversionpublishedVersion
dc.publisher.institutionUniversity of Calgaryen
dc.rightsUnless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleUse of GNSS Doppler for Prediction in Kalman Filtering for Smartphone Positioning
dc.typeArticle
ucalgary.scholar.levelGraduate, Faculty
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