Determination of experimental sensitivity capacities against crustal movements of dense-geodetic networks: a real GPS network application

On the improvement of the sensitivity levels of VLBI solutions from a combination with GNSS

“…The sensitivity levels tell us whether the network stations are weak or powerful based on the detection capacity of the gross errors in either single or multi-session analysis. Furthermore, the effects of the locations of stations relative to another and the effects of total observation weights at a station can be quantified (Küreç and Konak, 2014;Konak et al, 2019). To obtain sensitivity levels of network stations, we use the cofactor matrix of the displacement vector Q dd and the cofactor matrix of the adjusted coordinates Q xx in multi-session and single-session analyses, respectively.…”

“…In the multi-session solution, the displacement vector is obtained from the adjusted coordinate differences represented by different sessions. According to deformation analyses, the cofactor matrices will be constant for each session in the multi-session solution if the observation weights, the measurement schedule, and the station distribution are identical (Konak et al, 2019;Küreç Nehbit et al, 2020). However, this condition cannot be realized in reality for any space geodetic technique because the total observation weights at a station cannot be controlled.…”

“…Until recently, sensitivity analysis has been applied to small scale geodetic networks mostly based on measurements of the Global Positioning System (GPS). For instance, it was used for the investigation of the datum definition (Even-Tzur, 2006), of monitoring crustal deformation (Hsu and Hsiao, 2002), of a priori sensitivity levels (Küreç and Konak, 2014), and of the determination of the experimental sensitivity levels (Konak et al, 2019). Küreç Nehbit et al (2020) performed quality assessments, such as the robustness and sensitivity analyses, for the first time based on measurements of the VLBI technique.…”