Analysis of Different GNSS Data Filtering Techniques and Comparison of Linear and Non-Linear Times Series Solutions: Application to GNSS Stations in Central America for Regional Geodynamic Model Determination

At present, different methods are used for processing GPS time series data obtained from a network of GNSS stations. Solutions converted to velocity and displacement allow the generation geodynamic models in areas influenced by tectonic volcanic activity. This study focuses on comparative analysis solutions through techniques: Precise Point Positioning (PPP) Relative using specialized scientific software (Bernese 5.2). Another important objective this is convergence linear non-linear determine accuracy each component (east, north, up), addition application statistical techniques filtering (1-sigma, 2-sigma, kalman, wavelets, CATS analysis) check behavior series. These will be applied main stations monitoring Central America region (Guatemala, El Salvador, Honduras, Nicaragua, Costa Rica) order establish regional model.