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A method of estimating GPS instrumental biases with a convolution algorithm
Li, Qi1,2; Ma, Guanyi2; Lu, Weijun1,2; Wan, Qingtao2; Fan, Jiangtao2; Wang, Xiaolan2; Li, Jinghua2; Li, Changhua2
2018-03-15
Source PublicationADVANCES IN SPACE RESEARCH
ISSN0273-1177
Volume61Issue:6Pages:1387-1397
AbstractThis paper presents a method of deriving the instrumental differential code biases (DCBs) of GPS satellites and dual frequency receivers. Considering that the total electron content (TEC) varies smoothly over a small area, one ionospheric pierce point (IPP) and four more nearby IPPs were selected to build an equation with a convolution algorithm. In addition, unknown DCB parameters were arranged into a set of equations with GPS observations in a day unit by assuming that DCBs do not vary within a day. Then, the DCBs of satellites and receivers were determined by solving the equation set with the least-squares fitting technique. The performance of this method is examined by applying it to 361 days in 2014 using the observation data from 1311 GPS Earth Observation Network (GEONET) receivers. The result was crosswise-compared with the DCB estimated by the mesh method and the IONEX products from the Center for Orbit Determination in Europe (CODE). The DCB values derived by this method agree with those of the mesh method and the CODE products, with biases of 0.091 ns and 0.321 ns, respectively. The convolution method's accuracy and stability were quite good and showed improvements over the mesh method. (C) 2017 COSPAR. Published by Elsevier Ltd. All rights reserved.
KeywordGPS DCB TEC Ionospheric Convolution GEONET
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research Program of China ; National Key Research Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research Program of China ; National Key Research Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research Program of China ; National Key Research Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research Program of China ; National Key Research Program of China
DOI10.1016/j.asr.2017.11.034
WOS KeywordTOTAL ELECTRON-CONTENT ; RECEIVER DIFFERENTIAL BIASES ; GLOBAL POSITIONING SYSTEM ; DCB ESTIMATION ; SATELLITE ; NETWORK ; VARIABILITY ; JAPAN
Language英语
Funding ProjectNational Natural Science Foundation of China[11473045] ; National Natural Science Foundation of China[11403045] ; National Natural Science Foundation of China[11503040] ; National Key Research Program of China[2016YFB0501903] ; National Key Research Program of China[2016YFB0501904]
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research Program of China ; National Key Research Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research Program of China ; National Key Research Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research Program of China ; National Key Research Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research Program of China ; National Key Research Program of China
WOS Research AreaAstronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences
WOS SubjectAstronomy & Astrophysics ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS IDWOS:000428496900001
PublisherELSEVIER SCI LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/37089
Collection中国科学院国家天文台
Corresponding AuthorLi, Qi
Affiliation1.Univ Chinese Acad Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Natl Astron Observ, 20A Datun Rd, Beijing 100012, Peoples R China
Recommended Citation
GB/T 7714
Li, Qi,Ma, Guanyi,Lu, Weijun,et al. A method of estimating GPS instrumental biases with a convolution algorithm[J]. ADVANCES IN SPACE RESEARCH,2018,61(6):1387-1397.
APA Li, Qi.,Ma, Guanyi.,Lu, Weijun.,Wan, Qingtao.,Fan, Jiangtao.,...&Li, Changhua.(2018).A method of estimating GPS instrumental biases with a convolution algorithm.ADVANCES IN SPACE RESEARCH,61(6),1387-1397.
MLA Li, Qi,et al."A method of estimating GPS instrumental biases with a convolution algorithm".ADVANCES IN SPACE RESEARCH 61.6(2018):1387-1397.
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