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Assessment of local GNSS baselines at co-location sites

Authors :
Iván Darío Herrera Pinzón
Markus Rothacher
Source :
Journal of Geodesy. 92:1079-1095
Publication Year :
2018
Publisher :
Springer Science and Business Media LLC, 2018.

Abstract

As one of the major contributors to the realisation of the International Terrestrial Reference System (ITRS), the Global Navigation Satellite Systems (GNSS) are prone to suffer from irregularities and discontinuities in time series. While often associated with hardware/software changes and the influence of the local environment, these discrepancies constitute a major threat for ITRS realisations. Co-located GNSS at fundamental sites, with two or more available instruments, provide the opportunity to mitigate their influence while improving the accuracy of estimated positions by examining data breaks, local biases, deformations, time-dependent variations and the comparison of GNSS baselines with existing local tie measurements. With the use of co-located GNSS data from a subset sites of the International GNSS Service network, this paper discusses a global multi-year analysis with the aim of delivering homogeneous time series of coordinates to analyse system-specific error sources in the local baselines. Results based on the comparison of different GNSS-based solutions with the local survey ties show discrepancies of up to 10 mm despite GNSS coordinate repeatabilities at the sub-mm level. The discrepancies are especially large for the solutions using the ionosphere-free linear combination and estimating tropospheric zenith delays, thus corresponding to the processing strategy used for global solutions. Snow on the antennas causes further problems and seasonal variations of the station coordinates. These demonstrate the need for a permanent high-quality monitoring of the effects present in the short GNSS baselines at fundamental sites.

Details

ISSN :
14321394 and 09497714
Volume :
92
Database :
OpenAIRE
Journal :
Journal of Geodesy
Accession number :
edsair.doi...........ae5faa50c4564cc120a010711c551c6e
Full Text :
https://doi.org/10.1007/s00190-017-1108-9