Predicting the Earth Orientation Parameters by the Least Squares Method-Reference-Cited by-同舟云学术

Predicting the Earth Orientation Parameters by the Least Squares Method

Published:2020-12 Issue:12 Volume:40 Page:1124-1127
ISSN:1068-798X
Container-title:Russian Engineering Research
language:en
Short-container-title:Russ. Engin. Res.

Author:

Kozorez D. A.,Kruzhkov D. M.,Kuznetsov K. V.,Martynov E. A.

Publisher

Allerton Press

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Link

http://link.springer.com/content/pdf/10.3103/S1068798X20120357.pdf

Reference6 articles.

1. Grechkoseev, A.K., Krasil’shchikov, M.N., Kruzhkov, D.M., and Mararescul, T.A., Refining the Earth orientation parameters onboard spacecraft: concept and information technologies, J. Comput. Syst. Sci. Int., 2020, vol. 59, no. 4, pp. 598–608.

2. Zotov, L.V., Xu, X.Q., Skorobogatov, A., and Zhou, Y.H., Combined SAI-SHAO prediction of Earth orientation parameters since 2012 till 2017, Geodesy Geodyn., 2018, vol. 9, no. 6, pp. 485–490.

3. Gorshkov, V.L. and Miller, N.O., Forecasting of the Earth rotation parameters using singular spectral analysis, Izv. Gl. Astron. Obs., 2009, vol. 219, no. 1, pp. 91–100.

4. Malkin, Z.M. and Tissen, V.M., Accuracy assessment of the SNIIM method for predicting the parameters of the Earth rotation, Vestn. S.-Peterb. Univ., Ser. 1: Mat., Mekh., Astron., 2012, no. 3, pp. 143–152.

5. National Geospatial-Intelligence Agency (NGA) standardization document, World Geodetic System 1984, version 1.0.0, 2014. http://earth-info.nga.mil/GandG/publications/NGA_STND_0036_1_0_0_WGS84/NGA.STND.0036_1.0.0_WGS84.pdf. Accessed September 10, 2019.

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