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 | |
刊名 | ADVANCES IN SPACE RESEARCH
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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 |
DOI | 10.1016/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. |
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关键词 | TOTAL ELECTRON-CONTENT ; RECEIVER DIFFERENTIAL BIASES ; GLOBAL POSITIONING SYSTEM ; DCB ESTIMATION ; SATELLITE ; NETWORK ; VARIABILITY ; JAPAN |
WOS研究方向 | Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences |
语种 | 英语 |
出版者 | ELSEVIER SCI LTD |
WOS记录号 | WOS:000428496900001 |
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 |
内容类型 | 期刊论文 |
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. |
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