Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/92771
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dc.contributorDepartment of Aeronautical and Aviation Engineering-
dc.creatorDou, J-
dc.creatorXu, B-
dc.creatorDou, L-
dc.date.accessioned2022-05-16T09:07:40Z-
dc.date.available2022-05-16T09:07:40Z-
dc.identifier.issn0030-4026-
dc.identifier.urihttp://hdl.handle.net/10397/92771-
dc.language.isoenen_US
dc.publisherUrban & Fischeren_US
dc.rights© 2019 Elsevier GmbH. All rights reserved.en_US
dc.rights©2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Dou, J., Xu, B., & Dou, L. (2020). Performance assessment of GNSS scalar and vector frequency tracking loops. Optik, 202, 163552 is available at https://doi.org/10.1016/j.ijleo.2019.163552.en_US
dc.subjectEquivalent noise bandwidthen_US
dc.subjectExtended Kalman filter (EKF)en_US
dc.subjectFrequency lock loop (FLL)en_US
dc.subjectGlobal navigation satellite system (GNSS)en_US
dc.subjectWeighted least square (WLS)en_US
dc.titlePerformance assessment of GNSS scalar and vector frequency tracking loopsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume202-
dc.identifier.doi10.1016/j.ijleo.2019.163552-
dcterms.abstractThis paper focuses on two types of frequency lock loops (FLL) in Global Navigation Satellite System (GNSS) receivers, namely the conventional scalar frequency lock loop (SFLL) and the vector frequency lock loop (VFLL).The VFLL has been proven to have a better tracking performance than the SFLL in scenarios such as intermittent signal outages, high dynamics, etc. However, the FLL tracking performance under the equivalent noise bandwidth has not been explored in literature. To do this, we implemented three kinds of FLL, i.e., the SFLL, the weighted least square-based vector frequency loop (WLS-VFLL), and the extended Kalman filter-based vector tracking loop (EKF-VFLL). All these FLLs have the same noise bandwidth, based on which we made a fair comparison between them. The experimental static data and simulated high- dynamic data have been tested. Results show that the EKF-VFLL has a similar tracking performance with WLS-VFLL under static environment, both better than the SFLL. In high- dynamic environment, the advantages of EKF-VFLL are more prominent than the other two methods. Furthermore, EKF-VFLL takes the longest time in terms of computational efficiency.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationOptik, Feb. 2020, v. 202, 163552-
dcterms.isPartOfOptik-
dcterms.issued2020-02-
dc.identifier.scopus2-s2.0-85073956609-
dc.identifier.eissn1618-1336-
dc.identifier.artn163552-
dc.description.validate202205 bckw-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberAAE-0092en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Foundation of National Key Laboratory of Transient Physics; Foundation of Defence Technology Innovation Special Fileden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS42726312en_US
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