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In the long baseline GPS (Global Positioning System)/GNSS (Global Navigation Satellite System) relative positioning the ionospheric and tropospheric delays are dominant factors for the positioning accuracy. In this paper, we present Real Time Kinematic (RTK) relative positioning algorithms for long baselines with simultaneously estimating ionospheric and tropospheric delays and their gradients. Also some dynamical models [1-3] of the rover station are reviewed for applying Kalman filters, and we show the experimental results of relative positioning for various baselines (short, medium, long) by using the Gps Earth Observation NETwork (GEONET) data provided by Geospatial Information Authority (GSI) of Japan.

Long Baseline GNSS Relative Positioning with Estimating Ionospheric and Tropospheric Delays and their gradients