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Analytical performance and validations of the Galileo five-frequency precise point positioning models
Su, Ke1,2; Jin, Shuanggen1,3,4
2021-02-01
Source PublicationMEASUREMENT
ISSN0263-2241
Volume172Pages:11
AbstractGalileo navigation satellite system provides global services with five-frequency signals. The contribution of this study is to develop four Galileo five-frequency precise point positioning (PPP) models with the ionospheric-free (IF) and uncombined observables, namely FF1, FF2, FF3 and FF4 models, respectively. Galileo dual- and triple-frequency IF models, known as DF and TF models, are also investigated for comparisons. The Galileo dual- and multi-frequency PPP models are comprehensively evaluated with thirty consecutive days period observations collected from 26 multi-GNSS experiment (MGEX) network stations, together with a dynamic experiment dataset, in terms of the static and kinematic performance. The by-product estimated parameters in five-frequency PPP models including the receiver clock, tropospheric delay, receiver inter-frequency biases (IFBs) and differential code bias (DCB) are also analyzed. The experimental results show that the FF1, FF2, and FF3 models perform basic consistent and the FF4 model exhibits inconsistency due to the external ionospheric constraint. The Galileo kinematic PPP performance is significantly improved with the multi-frequency observations under the limited observed satellites circumstance. The significance and potency of the Galileo five-frequency PPP is demonstrated for future Galileo applications.
KeywordConvergence time Five-frequency Galileo Inter-frequency bias (IFB) Precise Point Positioning (PPP) Positioning accuracy
Funding OrganizationNational Natural Science Foundation of China-German Science Foundation (NSFC-DFG) ; National Natural Science Foundation of China-German Science Foundation (NSFC-DFG) ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project ; National Natural Science Foundation of China-German Science Foundation (NSFC-DFG) ; National Natural Science Foundation of China-German Science Foundation (NSFC-DFG) ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project ; National Natural Science Foundation of China-German Science Foundation (NSFC-DFG) ; National Natural Science Foundation of China-German Science Foundation (NSFC-DFG) ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project ; National Natural Science Foundation of China-German Science Foundation (NSFC-DFG) ; National Natural Science Foundation of China-German Science Foundation (NSFC-DFG) ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project
DOI10.1016/j.measurement.2020.108890
Language英语
Funding ProjectNational Natural Science Foundation of China-German Science Foundation (NSFC-DFG)[41761134092] ; Shanghai Leading Talent Project[E056061]
Funding OrganizationNational Natural Science Foundation of China-German Science Foundation (NSFC-DFG) ; National Natural Science Foundation of China-German Science Foundation (NSFC-DFG) ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project ; National Natural Science Foundation of China-German Science Foundation (NSFC-DFG) ; National Natural Science Foundation of China-German Science Foundation (NSFC-DFG) ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project ; National Natural Science Foundation of China-German Science Foundation (NSFC-DFG) ; National Natural Science Foundation of China-German Science Foundation (NSFC-DFG) ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project ; National Natural Science Foundation of China-German Science Foundation (NSFC-DFG) ; National Natural Science Foundation of China-German Science Foundation (NSFC-DFG) ; Shanghai Leading Talent Project ; Shanghai Leading Talent Project
WOS Research AreaEngineering ; Instruments & Instrumentation
WOS SubjectEngineering, Multidisciplinary ; Instruments & Instrumentation
WOS IDWOS:000619231500007
PublisherELSEVIER SCI LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/79100
Collection中国科学院国家天文台
Corresponding AuthorJin, Shuanggen
Affiliation1.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Peoples R China
4.Jiangsu Engn Ctr Collaborat Nav Positioning & Sma, Nanjing 210044, Peoples R China
Recommended Citation
GB/T 7714
Su, Ke,Jin, Shuanggen. Analytical performance and validations of the Galileo five-frequency precise point positioning models[J]. MEASUREMENT,2021,172:11.
APA Su, Ke,&Jin, Shuanggen.(2021).Analytical performance and validations of the Galileo five-frequency precise point positioning models.MEASUREMENT,172,11.
MLA Su, Ke,et al."Analytical performance and validations of the Galileo five-frequency precise point positioning models".MEASUREMENT 172(2021):11.
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