Spatio-temporal filtering for determination of common mode error in regional GNSS networks

摘要: The spatial correlation between different sta- tions for individual components in the regional GNSS net- works seems to be significant. mismodelling satel- lite orbits, Earth orientation parameters (EOP), large- scale atmospheric effects or satellite antenna phase cen- tre corrections can all cause regionally correlated er- rors. This kind of GPS time series errors are referred as common mode (CMEs). They usually estimated with filtering, such "stacking". In this paper, we show stacking approach set ASG-EUPOS permanent stations, assuming that distribution CME is uniform over whole region Poland (more than 600 km extent). a multifunctional precise positioning system based on reference network designed Poland. We used 5- year span (2008-2012) daily solutions ITRF2008 from Bernese 5.0 processed by Military Uni- versity Technology EPN Local Analysis Centre (MUT LAC). At beginning our analyses concerning dependencies, coefficients each pair stations were calculated. analysis shows spatio-temporal behaviour GPS-derived not purely random, but there evident response. order quantify influence filtering using CME, norms L1 and L2 determined. values these calcu- lated North, East Up twice: before performing filtration after stacking. observed reduction theL1 andL2 was up 30% depend- ing dimension network. However, ques- tion how define an optimal size CME-analysed sub- remains unanswered research, due fact extended enough.