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Estimation of GPS Differential Code Biases Based on Independent Reference Station and Recursive Filter

文献类型：期刊论文

作者Yuan, Liangliang1,5; Jin, Shuanggen2,4,5; Hoque, Mainul3
刊名REMOTE SENSING
出版日期2020-03-02
卷号12期号:6页码:17
关键词global positioning system (GPS) differential code bias (DCB) recursive filter reference station selection
DOI10.3390/rs12060951
英文摘要The differential code bias (DCB) of the Global Navigation Satellite Systems (GNSS) receiver should be precisely corrected when conducting ionospheric remote sensing and precise point positioning. The DCBs can usually be estimated by the ground GNSS network based on the parameterization of the global ionosphere together with the global ionospheric map (GIM). In order to reduce the spatial-temporal complexities, various algorithms based on GIM and local ionospheric modeling are conducted, but rely on station selection. In this paper, we present a recursive method to estimate the DCBs of Global Positioning System (GPS) satellites based on a recursive filter and independent reference station selection procedure. The satellite and receiver DCBs are estimated once per local day and aligned with the DCB product provided by the Center for Orbit Determination in Europe (CODE). From the statistical analysis with CODE DCB products, the results show that the accuracy of GPS satellite DCB estimates obtained by the recursive method can reach about 0.10 ns under solar quiet condition. The influence of stations with bad performances on DCB estimation can be reduced through the independent iterative reference selection. The accuracy of local ionospheric modeling based on recursive filter is less than 2 Total Electron Content Unit (TECU) in the monthly median sense. The performance of the recursive method is also evaluated under different solar conditions and the results show that the local ionospheric modeling is sensitive to solar conditions. Moreover, the recursive method has the potential to be implemented in the near real-time DCB estimation and GNSS data quality check.
WOS关键词INSTRUMENTAL BIASES ; DCB ESTIMATION ; SATELLITE ; TEC ; NETWORK ; ERRORS
资助项目National Natural Science Foundation of China (NSFC)[41761134092]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000526820600053
出版者MDPI
资助机构National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC)
源URL[http://ir.bao.ac.cn/handle/114a11/54905]  
专题中国科学院国家天文台
通讯作者Jin, Shuanggen
作者单位1.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100049, Peoples R China
2.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Peoples R China
3.German Aerosp Ctr, Inst Solar Terr Phys, Kalkhorstweg 53, D-17235 Neustrelitz, Germany
4.Jiangsu Engn Ctr Collaborat Nav Positioning & Sma, Nanjing 210044, Peoples R China
5.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
推荐引用方式
GB/T 7714		 Yuan, Liangliang,Jin, Shuanggen,Hoque, Mainul. Estimation of GPS Differential Code Biases Based on Independent Reference Station and Recursive Filter[J]. REMOTE SENSING,2020,12(6):17.
APA Yuan, Liangliang,Jin, Shuanggen,&Hoque, Mainul.(2020).Estimation of GPS Differential Code Biases Based on Independent Reference Station and Recursive Filter.REMOTE SENSING,12(6),17.
MLA Yuan, Liangliang,et al."Estimation of GPS Differential Code Biases Based on Independent Reference Station and Recursive Filter".REMOTE SENSING 12.6(2020):17.

入库方式： OAI收割

来源：国家天文台

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