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Determination of a terrestrial reference frame via Kalman filtering of very long baseline interferometry data
Citation key escidoc:1731911
Author Soja, B. and Nilsson, T. and Balidakis, Kyriakos and Glaser, Susanne and Heinkelmann, R. and Schuh, H.
Pages 1311 - 1327
Year 2016
DOI 10.1007/s00190-016-0924-7
Journal Journal of Geodesy
Volume 90
Abstract Terrestrial reference frames (TRF), such as the ITRF2008, are primary products of geodesy. In this paper, we present TRF solutions based on Kalman filtering of very long baseline interferometry (VLBI) data, for which we estimate steady station coordinates over more than 30 years that are updated for every single VLBI session. By applying different levels of process noise, non-linear signals, such as seasonal and seismic effects, are taken into account. The corresponding stochastic model is derived site-dependent from geophysical loading deformation time series and is adapted during periods of post-seismic deformations. Our results demonstrate that the choice of stochastic process has a much smaller impact on the coordinate time series and velocities than the overall noise level. If process noise is applied, tests with and without additionally estimating seasonal signals indicate no difference between the resulting coordinate time series for periods when observational data are available. In a comparison with epoch reference frames, the Kalman filter solutions provide better short-term stability. Furthermore, we find out that the Kalman filter solutions are of similar quality when compared to a consistent least-squares solution, however, with the enhanced attribute of being easier to update as, for instance, in a post-earthquake period.
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