Prediction of Multipath Interference for Static GNSS Applications

Abstract

Positional accuracy of Global Navigation Satellite System (GNSS) is limited by several error sources like troposphere, ionosphere, instrumental bias, clock, multipath etc. Among these error sources, multipath is quite significant, since it should be dynamically modeled with respect to user GNSS receiver environment. In this paper, multipath error is estimated based on both code and carrier phase measurements using CMC (code minus carrier) technique. It is quantified with experimental static dual frequency Global Positioning System (GPS) receiver data. The time series of multipath data is analyzed with other satellite parameters like elevation and azimuth angles of satellite vehicle (SV). Multipath error is estimated for all SVs and is analyzed for sequential days to
predict the multipath error of any SV during the forthcoming days. The results are very much encouraging and significant in prediction of multipath error for GPS/GNSS static applications such as atmospheric research using GNSS satellites data and during site selection phase for installing base stations for
continuous monitoring of satellites’ data.