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Abstract

For processing observations of the terrestrial pole dynamics, the regression dynamic modeling (RDM) approach was used. With the RDM software package the models describing the dynamics of the terrestrial polar coordinates were built. This approach provides accurate combined models of observations which describe to some extent causal and deterministic communication and provide forecast of characteristics. A comparison of observations and predicted values of the terrestrial polar coordinates obtained with the RDM approach and by other researchers is performed. To solve the problem, the expansion of the RDM automated systems was made. The basic version is supplemented by new software modules for the developed technique and geophysical observations features. The RDM software package intended for processing geophysical characteristics contains the modules as follows: 1) A spectral window to transform uneven observations to even ones; 2) Cross-spectral analysis to identify common significant harmonics of two observations; 3) Kalman Filter to eliminate noise from the residues of a model; 4) Fractal analysis to verify the series on trendstability; 5) Set of wavelets; 6) Processing scenarios to build the best on the "external" standard deviation model of (SD) model of Time series (TS) automatically.

Details

Location
Title
ANALYSIS OF THE TERRESTRIAL POLE COORDINATES USING REGRESSION DYNAMIC MODELING
Author
Andreev, Alexey 1 ; Nefedyev, Yury 1 ; Mubarakshina, Regina 1 ; Demina, Natalya 1 ; Demin, Sergey 1 

 Kazan Federal University, Kazan, Russia 
Volume
18
Issue
2.2
Pages
73-79
Publication date
2018
Year
2018
Section
Section Geoinformatics
Publisher
Surveying Geology & Mining Ecology Management (SGEM)
Place of publication
Sofia
Country of publication
Bulgaria
ISSN
13142704
Source type
Conference Paper
Language of publication
English
Document type
Conference Proceedings
ProQuest document ID
2185857199
Document URL
https://www.proquest.com/conference-papers-proceedings/analysis-terrestrial-pole-coordinates-using/docview/2185857199/se-2?accountid=208611
Copyright
Copyright Surveying Geology & Mining Ecology Management (SGEM) 2018
Last updated
2024-11-09
Database
ProQuest One Academic