RTK model and positioning performance analysis using Galileo four-frequency observations

doi:10.1016/j.asr.2018.10.011

NTSC-IR

	RTK model and positioning performance analysis using Galileo four-frequency observations
	Tu, Rui 1,2,3; Liu, Jinhai 1,2; Zhang, Rui 1,3; Zhang, Pengfei 1,2; Huang, Xiaodong 1,2; Lu, Xiaochun 1,2,3
	2019-01-15
发表期刊	ADVANCES IN SPACE RESEARCH
ISSN	0273-1177
卷号	63 期号:2 页码:913-926
摘要	This paper proposes a real-time kinematic (RTK) model that uses one common reference satellite for the Galileo system with four frequency observations. In the proposed model, the double-differenced (DD) pseudorange and carrier phase biases among the different frequencies are estimated as unknown parameters to recover the integer features of the DD ambiguities among the different frequencies for ambiguity resolution and precise positioning. Analysis results show that the E5a, E5b, and E5 frequencies have virtually the same performance in terms of the positioning accuracy, observation residuals, and ratio values of ambiguity resolution. However, the El frequency performs worse than the E5a, E5b, and E5 frequencies. The RTK results for the combination of multiple frequencies are much better than those for a single-frequency observation, the coordinates' standard deviation is improved about 20-30%, and the ambiguity fix time is improved about 10%. (C) 2018 COSPAR. Published by Elsevier Ltd. All rights reserved.
关键词	Galileo system Four-frequency observations Real-time kinematics Precise positioning
资助者	National Key Research and Development Plan of China ; National Key Research and Development Plan of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; National Key Research and Development Plan of China ; National Key Research and Development Plan of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; National Key Research and Development Plan of China ; National Key Research and Development Plan of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; National Key Research and Development Plan of China ; National Key Research and Development Plan of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS)
DOI	10.1016/j.asr.2018.10.011
语种	英语
资助项目	National Key Research and Development Plan of China[2016YFB0501804] ; National Natural Science Foundation of China[41504006] ; National Natural Science Foundation of China[41674034] ; Chinese Academy of Sciences (CAS)[QYZDB-SSW-DQC028]
资助者	National Key Research and Development Plan of China ; National Key Research and Development Plan of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; National Key Research and Development Plan of China ; National Key Research and Development Plan of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; National Key Research and Development Plan of China ; National Key Research and Development Plan of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; National Key Research and Development Plan of China ; National Key Research and Development Plan of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS)
WOS研究方向	Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences
WOS类目	Astronomy & Astrophysics ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000457656800008
出版者	ELSEVIER SCI LTD
引用统计
文献类型	期刊论文
条目标识符	http://210.72.145.45/handle/361003/11808
专题	中国科学院国家授时中心
通讯作者	Tu, Rui
作者单位	1.Chinese Acad Sci, Natl Time Serv Ctr, Shu Yuan Rd, Xian 710600, Shaanxi, Peoples R China 2.Univ Chinese Acad Sci, Yu Quan Rd, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Key Lab Precis Nav & Timing Technol, Shu Yuan Rd, Xian 710600, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Tu, Rui,Liu, Jinhai,Zhang, Rui,et al. RTK model and positioning performance analysis using Galileo four-frequency observations[J]. ADVANCES IN SPACE RESEARCH,2019,63(2):913-926.
APA	Tu, Rui,Liu, Jinhai,Zhang, Rui,Zhang, Pengfei,Huang, Xiaodong,&Lu, Xiaochun.(2019).RTK model and positioning performance analysis using Galileo four-frequency observations.ADVANCES IN SPACE RESEARCH,63(2),913-926.
MLA	Tu, Rui,et al."RTK model and positioning performance analysis using Galileo four-frequency observations".ADVANCES IN SPACE RESEARCH 63.2(2019):913-926.