Comparison of Multi-GNSS Time and Frequency Transfer Performance Using Overlap-Frequency Observations
Zhang, Pengfei3,4,5; Tu, Rui1,2,5; Gao, Yuping4,5; Hong, Ju1,5; Han, Junqiang3,5; Lu, Xiaochun2,5
刊名REMOTE SENSING
2021-08-01
卷号13期号:16页码:13
关键词time transfer overlap-frequency observations multi-GNSS carrier phase
DOI10.3390/rs13163130
英文摘要The modernized GPS, Galileo, and BeiDou global navigation satellite system (BDS3) offers new potential for time transfer using overlap-frequency (L1/E1/B1, L5/E5a/B2a) observations. To assess the performance of time and frequency transfer with overlap-frequency observations for GPS, Galileo, and BDS3, the mathematical models of single- and dual-frequency using the carrier-phase (CP) technique are discussed and presented. For the single-frequency CP model, the three-day average RMS values of the L5/E5a/B2a clock difference series were 0.218 ns for Galileo and 0.263 ns for BDS3, of which the improvements were 36.2% for Galileo and 43.9% for BDS3 when compared with the L1/E1/B1 solution at BRUX-PTBB. For the hydrogen-cesium time link BRUX-KIRU, the RMS values of the L5/E5a/B2a solution were 0.490 ns for Galileo and 0.608 ns for BDS3, improving Galileo by 6.4% and BDS3 by 12.5% when compared with the L1/E1/B1 solution. For the dual-frequency CP model, the average stability values of the L5/E5a/B2a solution at the BRUX-PTBB time link were 3.54 x 10(-12) for GPS, 2.20 x 10(-12) for Galileo, and 2.69 x 10(-12) for BDS3, of which the improvements were 21.0%, 45.1%, and 52.3%, respectively, when compared with the L1/E1/B1 solution. For the BRUX-KIRU time link, the improvements were 4.2%, 30.5%, and 36.1%, respectively.
资助项目National Natural Science Foundation of China[11903040] ; National Natural Science Foundation of China[41974032] ; Chinese Academy of Sciences (CAS)[QYZDB-SSW-DQC028] ; Chinese Academy of Sciences (CAS)[XAB2019B21] ; China Postdoctoral Science Foundation[2020M683763]
WOS关键词DIFFERENTIAL CODE BIASES ; LINK CALIBRATION ; COMBINING GPS ; GLONASS ; VIEW
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者MDPI
WOS记录号WOS:000689770000001
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation
内容类型期刊论文
源URL[http://210.72.145.45/handle/361003/10560]  
专题国家授时中心_守时理论与方法研究室
通讯作者Tu, Rui
作者单位1.Univ Chinese Acad Sci, Yu Quan Rd, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Key Lab Precis Nav & Timing Technol, Xian 710600, Peoples R China
3.Xian Res Inst Surveying & Mapping, State Key Lab Geoinformat Engn, Xian 710054, Peoples R China
4.Chinese Acad Sci, Key Lab Time & Frequency Primary Stand, Xian 710600, Peoples R China
5.Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Peoples R China
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GB/T 7714
Zhang, Pengfei,Tu, Rui,Gao, Yuping,et al. Comparison of Multi-GNSS Time and Frequency Transfer Performance Using Overlap-Frequency Observations[J]. REMOTE SENSING,2021,13(16):13.
APA Zhang, Pengfei,Tu, Rui,Gao, Yuping,Hong, Ju,Han, Junqiang,&Lu, Xiaochun.(2021).Comparison of Multi-GNSS Time and Frequency Transfer Performance Using Overlap-Frequency Observations.REMOTE SENSING,13(16),13.
MLA Zhang, Pengfei,et al."Comparison of Multi-GNSS Time and Frequency Transfer Performance Using Overlap-Frequency Observations".REMOTE SENSING 13.16(2021):13.
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