ANÁLISES DE SÉRIES TEMPORAIS

Abstract

The GNSS, in special the GPS, is one of the most used technology to accomplish geodetic positioning. In the GNSS processing both functional and stochastic model are fundamental and currently there are several researches to improve these models aiming to obtain more accurate coordinates. However, some non-modeled effects (noises) remain in the time series of the GNSS coordinates. These noises can be characterized from the time series and can be present components such as white noise, flicker noise and/or random walk. In this paper, it will be presented some methodologies for the noise characterization in the GNSS coordinates time series.