4 research outputs found
Next generation network real-time kinematic interpolation segment to improve the user accuracy
Next generation network real-time kinematic interpolation segment to improve the user accuracy
This paper demonstrates that automatic selection of the right interpolation/smoothing method in a GNSS-based network realtime
kinematic (NRTK) interpolation segment can improve the accuracy of the rover position estimates and also the processing
time in the NRTK processing center. The methods discussed and investigated are inverse distance weighting (IDW); bilinear and
bicubic spline interpolation; kriging interpolation; thin-plate splines; and numerical approximation methods for spatial processes.
The methods are implemented and tested using GNSS data from reference stations in the Norwegian network RTK service called
CPOS.Data sets with an average baseline between reference stations of 60–70 kmwere selected. 12 prediction locations were used to
analyze the performance of the interpolation methods by computing and comparing different measures of the goodness of fit such
as the root mean square error (RMSE), mean square error, and mean absolute error, and also the computation time was compared.
Results of the tests show that ordinary kriging with theMat´ern covariance function clearly provides the best results. The thin-plate
spline provides the second best results of the methods selected and with the test data used