Elevation and Position Uncertainty based KF Model for Position Accuracy Improvement

Abstract

This paper discusses about improvement of Global Positioning System (GPS) receiver position accuracy based on elevation angle and position uncertainty parameters. Kalman Filter method is used to estimate the receiver position which by default provides position uncertainty along with error in position. To improve accuracy, the proposed method focuses on proper selection of satellites to be considered among the visible satellites to evaluate the receiver’s position accuracy. At a particular epoch the combination of satellites with high elevation angles results in better receiver position. The analysis has been carried out by considering different combinations of satellites with high elevation angles from a number of visible satellites at a particular epoch. The results of the proposed method are very promising for precise applications of GPS particularly in the civil aviation sector.