GPS/GLONASS Data Fusion and Outlier Elimination to Improve the Position Accuracy of Receiver

Abstract

To improve the accuracy of receiver's positios, Global Navigation Satellite System (GNSS) brings more signals and more satellites. This paper presents data fusion from multiple satellite constellations. Indeed, multiple satellite failures impact the determination of the user position and should be considered. For this purpose, the present paper provides a robust estimation to detect and exclude multi-faults. This paper presents a robust MM class estimator for the GNSS positioning using data from the GLONASS and combination with GPS data. The results are improved by up to 70.96% with the position fusion and the robust estimation algorithm compared with using GPS data only.