Performance of ZTD models derived in near real-time from GBAS and meteorological data in GPS fast-static positioning

Abstract

This paper presents accuracy analyses of two near real-time tropospheric delay estimation models, IGGHZG and IGGHZM, in fast-static precise positioning. The first model is based on the processing of GPS data collected from ground-based reference stations, and the second one uses metrological data fed into the Saastamoinen model. These two methods were developed within the ASG+ project by researchers from Wroclaw University of Environmental and Life Sciences. The accuracy of these models was evaluated by comparison to tropospheric zenith total delays (ZTDs) obtained from the ASG-EUPOS network final solution and the UNB3m model. The applicability of these models to precise positioning was studied by their application to ultra-fast-static positioning, in which the resulting coordinates' accuracy and ambiguity resolution performance were analysed. Baselines from 65 to 72 km, with height differences from 39 to 379 m, were processed. The obtained results show that the GPS-based model can be successfully used in precise positioning, and the meteo-based model still requires improvements, mostly related to the interpolation technique.