An Effective Algorithm for Elimination of Outliers from Data Measurements of Global Navigation Satellite Systems

Resumo

An effective algorithm has been developed for detection and elimination of outliers and has been applied in processing data measurements in Global Navigation Satellite Systems. The algorithm is based on searching for an optimal solution for which the standard deviation and the maximum absolute deviation of the measured data from mean values do not exceed specified threshold values, and the number of the detected outliers is minimal. The algorithm was tested for the Melbourne–Wübbena linear combination formed from GNSS data measurements on two carrier frequencies.