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Estimation of GPS instrumental biases from small scale network
Ma, Guanyi; Gao, Wei; Li, Jinghua; Chen, Yanhong; Shen, Hua; Ma, GY (reprint author), Chinese Acad Sci, Natl Astron Observ, 20A Datun Rd, Beijing 100012, Peoples R China.
Department空间环境部
Source PublicationADVANCES IN SPACE RESEARCH
2014
Volume54Issue:5Pages:871-882
ISSN0273-1177
Language英语
KeywordGps Radiowave Propagation Ionosphere Tec Instrumental Biases
AbstractWith 4 GPS receivers located in the equatorial anomaly region in southeast China, this paper proposes a grid-based algorithm to determine the GPS satellites and receivers biases, and at the same time to derive the total electron content (TEC) with time resolution of 15 min and spatial resolution of 1 degrees by 3.5 degrees in latitude and longitude. By assuming that the TEC is identical at any point within a given grid block and the biases do not vary within a day, the algorithm arranges unknown biases and TECs with slant path TEC from the 4 receivers' observations into a set of equations. Then the instrumental biases and the TECs are determined by using the least squares fitting technique. The performance of the method is examined by applying it to the GPS receiver chain observations selected from 16 geomagnetically quiet days in four seasons of 2006. It is found that the fitting agrees with the data very well, with goodness of fit ranging from 0.452 TECU to 1.914 TECU. Having a mean of 0.9 ns, the standard deviations for most of the GPS satellite biases are less than 1.0 ns for the 16 days. The GPS receiver biases are more stable than that of the GPS satellites. The standard deviation in the 4 receiver bias is from 0.370 us to 0.855 ns, with a mean of 0.5 ns. Moreover, the instrumental biases are highly correlated with those derived from CODE and JPL with independent methods. The typical precision of the derived TEC is 5 TECU by a conservative estimation. These results indicate that the proposed algorithm is valid and qualified for small scale GPS network. (C) 2013 COSPAR. Published by Elsevier Ltd. All rights reserved.
Indexed BySCI ; EI
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/4378
Collection空间环境部
Corresponding AuthorMa, GY (reprint author), Chinese Acad Sci, Natl Astron Observ, 20A Datun Rd, Beijing 100012, Peoples R China.
Recommended Citation
GB/T 7714
Ma, Guanyi,Gao, Wei,Li, Jinghua,et al. Estimation of GPS instrumental biases from small scale network[J]. ADVANCES IN SPACE RESEARCH,2014,54(5):871-882.
APA Ma, Guanyi,Gao, Wei,Li, Jinghua,Chen, Yanhong,Shen, Hua,&Ma, GY .(2014).Estimation of GPS instrumental biases from small scale network.ADVANCES IN SPACE RESEARCH,54(5),871-882.
MLA Ma, Guanyi,et al."Estimation of GPS instrumental biases from small scale network".ADVANCES IN SPACE RESEARCH 54.5(2014):871-882.
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