Structural monitoring using GNSS technology and sequential filtering

GNSS technology is still not considered as a suitable method for structural monitoring because of its relatively low precision, despite the increase in acquisition frequencies. This paper aims to evaluate a strategy for filtering a daily kinematic GNSS solution using a movement smoothing model based on the observations of previous days, so as to obtain a less scattered solution. A test was conducted with a permanent GNSS station located on top of the medieval Garisenda tower in Bologna (Italy), as it is an important part of the city’s cultural heritage and a reliable test site. Because of the presence of the adjacent Asinelli tower, which is taller than the Garisenda, sky visibility is not optimal here, and for this reason a particular sequential filtering can be adopted in order to obtain more accurate solutions. The test was performed using RTKLIB software to calculate 1 Hz baselines between the test station and a master one located on a stable area about one kilometer away from the tower. In order to obtain reliable results, several variables were considered both in the data processing phase and in defining the filter. All results are reported and discussed in detail in the paper. The test results reveal a reduction in scatter of about 20% in the filtered kinematic time series, especially in weaker geodetic components.