Abstract
In a general parameter estimation model, a priori information is used to linearize the system of equations being solved so that just offsets to the a priori values need to be estimated. A priori information used in Very Long Baseline Interferometry (VLBI) data analysis is additionally needed for modeling and constraining the auxiliary parameters, i.e. zenith wet delays, clocks, and troposphere gradients, in order to stabilize the parameter estimation. In our study we investigate the modelling of the auxiliary parameters.
In order to improve the currently used parameterization in the VLBI software VieVS used by many International VLBI Service for Geodesy and Astrometry – IVS Analysis Centers we consider three different approaches. In the first one the choice of the length of the time interval is made relatively to the temporal behavior of parameters (approach1), in the second one we do not estimate parameters in gaps in the observation sessions (approach2), and in the third one the time interval is choosen relatively to the number of observations (approach3). The preliminary results show that approach2 and approach3 provide results better than the standard approach (currently used parameterization in VieVS software) for VLBI single session analysis with the least squares solution of the Vienna VLBI Software (VieVS). The impacts of approach2 and approach3 on various VLBI solutions with VieVS were assessed by descriptive statistics and remarks for future studies are given. The optimization depending on approach1 will be investigated in future.
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Acknowledgements
The authors thank the International VLBI Service for Geodesy and Astrometry - IVS (Schuh and Behrend 2012) for scheduling, observing, correlating, and providing the VLBI data used in this work. The first author, Emine TANIR KAYIKCI, acknowledges the Council of Higher Education of Turkey (YOK) for the financial support of her research stay at GFZ.
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Kayıkçı, E.T. et al. (2015). Optimized Parameterization of VLBI Auxiliary Parameters in Least-Squares Adjustment: Preliminary Results. In: Rizos, C., Willis, P. (eds) IAG 150 Years. International Association of Geodesy Symposia, vol 143. Springer, Cham. https://doi.org/10.1007/1345_2015_80
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DOI: https://doi.org/10.1007/1345_2015_80
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