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Estimation of the ERPs based on GPS data and the analysis of the impact factor

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doi: 10.14075/j.jgg.2016.10.013
Authors:Wang Xinjing; Yuan Yunbin; Tan Bingfeng; Song Min; Liu Teng
Author Affiliations:Primary:
Chinese Academy of Sciences, Institute of Geodesy and Geophysics, Wuhan, China
Other:
University of Chinese Academy of Sciences, China
Volume Title:Dadi Celiang yu Diqiu Dongli Xue Journal of Geodesy and Geodynamics
Source:Dadi Celiang yu Diqiu Dongli Xue = Journal of Geodesy and Geodynamics, 36(10), p.902-906. Publisher: Gai Kan Bianjibu, Wuhan, China. ISSN: 1671-5942
Publication Date:2016
Note:In Chinese with English summary. 11 refs.; illus., incl. 2 tables
Summary:ERP is a necessary parameter in the transformation between the ITRF and ICRS. The paper introduces a method of solving the ERP parameters based on GPS data. First, about 100 global uniform and stable distributed IGS stations are selected for the calculation of the solution, and then we make comparisons between the solution sequence from the experiment and the IGS final-solution sequence. Second, we analyze the impact factor of the solution quality from the aspect of experimental data and mathematical derivation during processing, including the constraints for the orbit, the precision of the prior ERP information, and the quantity of the chosen station. We then make a proposal for improving the ERP solution quality based on the analysis: freely constrain the four periodic dynamic parameters in the directions D, Y of ECOM model, and the strongly constrained stochastic pulse can achieve a better result. The key to reducing the influence of the prior information in the processing is to improve the precision of predicted UT1-UTC; 100 stations in the processing is a good choice to achieve the best efficiency and quality in the calculation.
Subjects:Earth; Geodesy; Global navigation satellite systems; Global Positioning System; Numerical analysis; Rotation
Record ID:821873-13
Copyright Information:GeoRef, Copyright 2021 American Geosciences Institute.
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040 |a ViAlAGI  |c ViAlAGI 
041 |a chi  |b eng 
072 7 |a 20  |2 georeft 
100 1 |a Wang Xinjing  |e analytic author  |u Chinese Academy of Sciences, Institute of Geodesy and Geophysics, Wuhan 
245 1 0 |a Estimation of the ERPs based on GPS data and the analysis of the impact factor 
300 |a p. 902-906 
500 |a In Chinese with English summary. 11 refs. 
500 |a Affiliation: Chinese Academy of Sciences, Institute of Geodesy and Geophysics; Wuhan; CHN; China 
500 |a Affiliation: University of Chinese Academy of Sciences; ; CHN; China 
500 |a Key title: Dadi Celiang yu Diqiu Dongli Xue = Journal of Geodesy and Geodynamics 
500 |a Source note: Dadi Celiang yu Diqiu Dongli Xue = Journal of Geodesy and Geodynamics, 36(10), p.902-906. Publisher: Gai Kan Bianjibu, Wuhan, China. ISSN: 1671-5942 
500 |a Publication type: journal article 
504 |b 11 refs. 
510 3 |a GeoRef, Copyright 2021 American Geosciences Institute. 
520 |a ERP is a necessary parameter in the transformation between the ITRF and ICRS. The paper introduces a method of solving the ERP parameters based on GPS data. First, about 100 global uniform and stable distributed IGS stations are selected for the calculation of the solution, and then we make comparisons between the solution sequence from the experiment and the IGS final-solution sequence. Second, we analyze the impact factor of the solution quality from the aspect of experimental data and mathematical derivation during processing, including the constraints for the orbit, the precision of the prior ERP information, and the quantity of the chosen station. We then make a proposal for improving the ERP solution quality based on the analysis: freely constrain the four periodic dynamic parameters in the directions D, Y of ECOM model, and the strongly constrained stochastic pulse can achieve a better result. The key to reducing the influence of the prior information in the processing is to improve the precision of predicted UT1-UTC; 100 stations in the processing is a good choice to achieve the best efficiency and quality in the calculation. 
650 7 |a Earth  |2 georeft 
650 7 |a Geodesy  |2 georeft 
650 7 |a Global navigation satellite systems  |2 georeft 
650 7 |a Global Positioning System  |2 georeft 
650 7 |a Numerical analysis  |2 georeft 
650 7 |a Rotation  |2 georeft 
700 1 |a Yuan Yunbin,  |e analytic author 
700 1 |a Tan Bingfeng,  |e analytic author 
700 1 |a Song Min,  |e analytic author 
700 1 |a Liu Teng,  |e analytic author 
773 0 |t Dadi Celiang yu Diqiu Dongli Xue Journal of Geodesy and Geodynamics  |d Wuhan : Gai Kan Bianjibu, Oct. , 15 2016  |x 1671-5942  |n Dadi Celiang yu Diqiu Dongli Xue = Journal of Geodesy and Geodynamics, 36(10), p.902-906. Publisher: Gai Kan Bianjibu, Wuhan, China. ISSN: 1671-5942 Publication type: journal article  |g Vol. 36, no. 10  |h illus., incl. 2 tables 
856 |u urn:doi: 10.14075/j.jgg.2016.10.013