Interpolation Fitting Algorithm in Time-Space Domain of Differential Barometric Altimetry

In order to overcome the limitations of a unitary reference station in mobile communication positioning network differential barometric altimetry (DBA) and broaden the action scope of the reference station and improve positioning accuracy of elevation, an integrated interpolation algorithm model based on generalized extended approximation (GEA) algorithm and Kriging interpolation in time-space domain of reference station is proposed. In the time domain, barometric measured data is considered the maximum value estimated by bilateral extension to avoid wrong direction of estimation, which is approaching true value. In the spatial domain, barometric relevance among multiple reference stations is utilized, the weighted coefficients of multiple reference stations is calculated by the integrated algorithm model based on the GEA algorithm and Kriging interpolation. The impact of each reference station to the measured station is quantified, so that a virtual reference station is constructed, which can overcome the limitation of barometric correction by a unitary reference station. In addition, the measurement error due to irregular change in atmospheric pressure will be eliminated.