GSTAR: an innovative software platform for processing space geodetic data at the observation level

Abstract To meet the demands for data combination with multiple space geodetic techniques at observation level, we developed a new software platform high extensibility and computation efficiency, named Geodetic SpatioTemporal Analysis Research (GSTAR). Most of modules in GSTAR are coded C++ object-oriented programming. The layered modular theory is adopted design software, antenna-based architecture proposed users to construct personalized application scenarios easily. initial performance evaluated by processing Global Navigation Satellite System (GNSS) collected from 315 globally distributed stations over two half years. accuracy GNSS-based products comparing them those released International GNSS Service (IGS) Centers (AC). Taking European Space Agency (ESA) as reference, Three-Dimension (3D) Root-Mean-Squares (RMS) orbit differences 2.7/6.7/3.3/7.7/21.0 cm STandard Deviations (STD) clock 19/48/16/32/25 ps Positioning (GPS), GLObal NAvigation (GLONASS), Galileo navigation satellite system (Galileo), BeiDou (BDS), Medium Earth Orbit (MEO), BDS Inclined Geo-Synchronous (IGSO) satellites, respectively. mean values $$X$$ X $$Y$$ Y components polar coordinate Length Day (LOD) respect Rotation Reference Systems (IERS) 14 C04 -17.6 microarc-second (µas), 9.2 µas, 14.0 µs/d. Compared IGS daily solution, RMSs site position north/east/up direction 1.6/1.5/3.9, 3.8/2.4/7.6, 2.5/2.4/7.9 2.7/2.3/7.4 mm GPS-only, GLONASS-only, Galileo-only, BDS-only tropospheric Zenith Path Delay (ZPD), north gradients, east gradients 5.8, 0.9, 0.9 products. geocenter motion estimated observations well agree products, while $$Z$$ Z component much nosier where anomalous harmonics draconitic year can be found. accuracies above calculated comparable different ACs. precise scientific 3D RMS Gravity Recovery Climate Experiment Follow-on (GRACE-FO) satellites below 1.5 conducting Precise Point Ambiguity Resolution (PPP-AR). In addition, series rapid algorithms developed, operation speed 5.6 times faster than that Data Analyst (PANDA) quad-system determination procedure.