中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A method of estimating GPS instrumental biases with a convolution algorithm

文献类型:期刊论文

作者Li, Qi1,2; Ma, Guanyi2; Lu, Weijun1,2; Wan, Qingtao2; Fan, Jiangtao2; Wang, Xiaolan2; Li, Jinghua2; Li, Changhua2
刊名ADVANCES IN SPACE RESEARCH
出版日期2018-03-15
卷号61期号:6页码:1387-1397
关键词GPS DCB TEC Ionospheric Convolution GEONET
ISSN号0273-1177
DOI10.1016/j.asr.2017.11.034
英文摘要This 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.
WOS关键词TOTAL ELECTRON-CONTENT ; RECEIVER DIFFERENTIAL BIASES ; GLOBAL POSITIONING SYSTEM ; DCB ESTIMATION ; SATELLITE ; NETWORK ; VARIABILITY ; JAPAN
资助项目National 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]
WOS研究方向Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000428496900001
出版者ELSEVIER SCI LTD
资助机构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 ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Research Program of China ; National Key Research Program of China
源URL[http://ir.bao.ac.cn/handle/114a11/37088]  
专题中国科学院国家天文台
通讯作者Li, Qi
作者单位1.Univ Chinese Acad Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Natl Astron Observ, 20A Datun Rd, Beijing 100012, Peoples R China
推荐引用方式
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.

入库方式: OAI收割

来源:国家天文台

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