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Anomaly analysis of 18 years of newly merged GPS ephemeris from four IGS data centers
Wang, Haitao1; Jiang, Hu2; Ou, Jikun1; Sun, Baoqi3,4; Zhong, Shiming1; Song, Min1; Guo, Aizhi1
刊名GPS SOLUTIONS
2018-10-01
卷号22期号:4页码:13
关键词Remerged navigation data IGS data centers GPS system performance assessment Frequency-dependent pattern recognition Robust ephemeris elements
ISSN号1080-5370
DOI10.1007/s10291-018-0791-1
英文摘要The merged GPS navigation files from the International GNSS Service (IGS) data centers, i.e., the Crustal Dynamics Data Information System (CDDIS), the Bundesamt fur Kartographie und Geodasie (BKG), the Scripps Institution of Oceanography (SIO), and the Institut Geographique National (IGN) are occasionally contaminated by anomalies and inconsistent user range accuracy (URA). This contamination impairs the performance assessment of GPS service, especially the system integrity. We remerged these files starting Day of Year (DOY) 1, 2000 using all available navigation data files from IGS stations. To effectively get the upper bound URA, a frequency-dependent pattern recognition method was developed. In addition, a comprehensive comparison between the navigation data remerged by us and those provided by the four IGS data centers was performed. The compared results revealed that T-GD and Issue of Data Clock (IODC) were the dominating anomalies in the merged navigation data from CDDIS and SIO for the first several years after 2000, and M-0, (0), , and a(f0) were the dominant anomalies in the merged data from IGN. In addition to a number of missing records, many records with incorrect PRN (pseudo-random noise number), identifying a GPS satellite, were found in files from the IGS data centers. Although the number of anomalies in the merged files from CDDIS has continued to decrease in recent years, they have not disappeared and would affect system-level assessment and scientific applications to a certain extent. The results also revealed that our remerged files were more complete, clean, compact and consistent, making them more suitable for GPS system performance assessment and related research studies. Moreover, those data are now openly available.
资助项目National Natural Science Foundation of China[41474029] ; National Natural Science Foundation of China[41574015] ; Innovation Foundation of the Chinese Academy of Sciences[CXJJ-14-M18] ; Key Program of the Major Research Plan of the National Natural Science Foundation of China[91638203] ; Collaborative Precision Positioning Project - Ministry of Science and Technology of China[2016YFB0501900] ; National R&D Infrastructure and Facility Development Program of China, "Fundamental Science Data Sharing Platform"[DKA2017-12-02-24]
WOS关键词SUPPORT ARAIM
WOS研究方向Remote Sensing
语种英语
出版者SPRINGER HEIDELBERG
WOS记录号WOS:000445753900001
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of China ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Key Program of the Major Research Plan of the National Natural Science Foundation of China ; Key Program of the Major Research Plan of the National Natural Science Foundation of China ; Collaborative Precision Positioning Project - Ministry of Science and Technology of China ; Collaborative Precision Positioning Project - Ministry of Science and Technology of China ; National R&D Infrastructure and Facility Development Program of China, "Fundamental Science Data Sharing Platform" ; National R&D Infrastructure and Facility Development Program of China, "Fundamental Science Data Sharing Platform" ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Key Program of the Major Research Plan of the National Natural Science Foundation of China ; Key Program of the Major Research Plan of the National Natural Science Foundation of China ; Collaborative Precision Positioning Project - Ministry of Science and Technology of China ; Collaborative Precision Positioning Project - Ministry of Science and Technology of China ; National R&D Infrastructure and Facility Development Program of China, "Fundamental Science Data Sharing Platform" ; National R&D Infrastructure and Facility Development Program of China, "Fundamental Science Data Sharing Platform" ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Key Program of the Major Research Plan of the National Natural Science Foundation of China ; Key Program of the Major Research Plan of the National Natural Science Foundation of China ; Collaborative Precision Positioning Project - Ministry of Science and Technology of China ; Collaborative Precision Positioning Project - Ministry of Science and Technology of China ; National R&D Infrastructure and Facility Development Program of China, "Fundamental Science Data Sharing Platform" ; National R&D Infrastructure and Facility Development Program of China, "Fundamental Science Data Sharing Platform" ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Innovation Foundation of the Chinese Academy of Sciences ; Innovation Foundation of the Chinese Academy of Sciences ; Key Program of the Major Research Plan of the National Natural Science Foundation of China ; Key Program of the Major Research Plan of the National Natural Science Foundation of China ; Collaborative Precision Positioning Project - Ministry of Science and Technology of China ; Collaborative Precision Positioning Project - Ministry of Science and Technology of China ; National R&D Infrastructure and Facility Development Program of China, "Fundamental Science Data Sharing Platform" ; National R&D Infrastructure and Facility Development Program of China, "Fundamental Science Data Sharing Platform"
内容类型期刊论文
源URL[http://210.72.145.45/handle/361003/11685]  
专题中国科学院国家授时中心
通讯作者Wang, Haitao
作者单位1.Chinese Acad Sci, State Key Lab Geodesy & Earths Dynam, Inst Geodesy & Geophys, Wuhan 430077, Hubei, Peoples R China
2.Wuhan Univ, Chinese Antarctic Ctr Surveying & Mapping, Wuhan 430079, Hubei, Peoples R China
3.Chinese Acad Sci, Key Lab Precise Positioning & Timing Technol, Natl Time Serv Ctr, Xian 710600, Shaanxi, Peoples R China
4.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Wang, Haitao,Jiang, Hu,Ou, Jikun,et al. Anomaly analysis of 18 years of newly merged GPS ephemeris from four IGS data centers[J]. GPS SOLUTIONS,2018,22(4):13.
APA Wang, Haitao.,Jiang, Hu.,Ou, Jikun.,Sun, Baoqi.,Zhong, Shiming.,...&Guo, Aizhi.(2018).Anomaly analysis of 18 years of newly merged GPS ephemeris from four IGS data centers.GPS SOLUTIONS,22(4),13.
MLA Wang, Haitao,et al."Anomaly analysis of 18 years of newly merged GPS ephemeris from four IGS data centers".GPS SOLUTIONS 22.4(2018):13.
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