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  • Group method of data handling for modeling GNSS site-specific quality parameters
    Pavlovčič Prešeren, Polona, geodezija
    This paper proposes the use of group method of data handling (GMDH) model to predict site-specific time series of quality parameters by using global navigation satellite systems (GNSS). There are ... several local environmental factors that can interfere with GNSS position estimates. Prediction of multipath and carrier-to-noise ratio (CNR) based on satellite elevation angle is particularly important in urban street canyons where signal reflections lead to positioning errors. The aim of this work is to propose a soft computing approach for elevation-dependent modeling of site-specific parameters, which could be used as a reference for quality prediction in kinematic positioning, especially in adverse GNSS positioning situations. Prediction model was constructed based on GMDH and simulation results show a good agreement of the proposed model to the actual values. Thus, GMDH provides promising results for further investigation on its usability in real-time positioning.
    Vir: SOR '21 proceedings : the 16th International Symposium on Operational Research in Slovenia : September 22 - 24, 2021, online (Str. 41-46)
    Vrsta gradiva - prispevek na konferenci
    Leto - 2021
    Jezik - angleški
    COBISS.SI-ID - 80216323

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