Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/100487
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.contributorResearch Institute for Sustainable Urban Development-
dc.creatorLiu, Zen_US
dc.creatorGong, Yen_US
dc.creatorZhou, Len_US
dc.date.accessioned2023-08-11T03:06:16Z-
dc.date.available2023-08-11T03:06:16Z-
dc.identifier.urihttp://hdl.handle.net/10397/100487-
dc.language.isoenen_US
dc.publisherSpringerOpenen_US
dc.rights© The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_US
dc.rightsThe following publication Liu, Z., Gong, Y. & Zhou, L. Impact of China’s high speed train window glass on GNSS signals and positioning performance. Satell Navig 1, 14 (2020) is available at https://doi.org/10.1186/s43020-020-00013-z.en_US
dc.subjectGlobal navigation satellite systems (GNSS)en_US
dc.subjectHigh-speed train (HST) window glassen_US
dc.subjectSignal attenuation and lossen_US
dc.titleImpact of China’s high speed train window glass on GNSS signals and positioning performanceen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume1en_US
dc.identifier.doi10.1186/s43020-020-00013-zen_US
dcterms.abstractHigh speed train (HST) is an excellent platform to perform ultra-high spatial and temporal resolution observations of atmosphere using global navigation satellite systems (GNSS). However, we find that signal attenuation caused by HST window glass is a major barrier for HST-based GNSS applications inside HST chambers. A field experiment is conducted to analyze the effect of HST glass on GNSS signal propagation. In the experiment, GNSS observations are collected and analyzed from a receiver covered with an HST window glass and one with an open-sky view. The size of the HST window glass is 670 mm × 720 mm, with a thickness of 34 mm. The window glass is a double-glazing glass in which each layer has an actual thickness of 6 mm, and the two layers are separated by an air gap of 22 mm. The experiment results indicate that HST window glass can cause significant degradation to GNSS signals and even loss of tracking of the signal. Based on statistical results, HST window glass causes 39%, 56%, 49%, and 59% loss in GPS, GLONASS, Galileo, and BDS signals, respectively. Additionally, up to 20 dB-Hz of carrier-to-noise ratio (C/N0) degradation is also observed in the remaining observations. The significant signal attenuation and loss further lead to the decrease in the number of tracked satellites and occurrence of more cycle slips. The results of the study indicate that 44–230 cycle slips are detected for the HST glass-covered receiver whereas the receiver without glass does not exhibit more than 16 cycle slips. Additionally, the number of GNSS satellites tracked by the HST glass-covered receiver is reduced by 65% owing to the loss of signal. Furthermore, GNSS positioning performances from two receivers are also tested. With respect to GPS + GLONASS static precise point positioning (PPP), HST glass causes a degradation of 1.516 m and 1.159 m in the single-frequency and dual-frequency three-dimensional positioning accuracy, respectively. With respect to the GPS + GLONASS kinematic PPP, the accuracy degradations for single-frequency and dual-frequency kinematic PPP are 2.670 m and 4.821 m, respectively.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSatellite navigation, 2020, v. 1, 14en_US
dcterms.isPartOfSatellite navigationen_US
dcterms.issued2020-
dc.identifier.scopus2-s2.0-85095616672-
dc.identifier.eissn2662-1363en_US
dc.identifier.artn14en_US
dc.description.validate202308 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextGeneral Research Fund of Shanghai Normal University; Innovation and Technology Commission - Hong Kong; RGC; National Natural Science Foundation of China; National Rail Transit Electrification and Automation Engineering Technology Research Center; Hong Kong Polytechnic University; National Natural Science Foundation of China; Research Institute for Sustainable Urban Development, Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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