UNEDITED REFERENCE

This record is being processed for inclusion into GeoRef. It may not yet have been indexed, given a translated title, or checked by a GeoRef editor.

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

Saved in:
Online Access: Get full text
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.
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items