A Mutual Extension to Kalman Filter for Interpretation of the GPS Ambiguities

Some study methods, like least-squares, Kalman filter, are worked out so far to minimize this error factor and improve the GPS positioning accuracy. This paper presents a fast, accurate, and a new method in implementing Kalman Filter for GPS positioning, based on the correntropy criterion designated as the Correntropy Kalman Filter (CKF). The suggested model is evaluated using numerous 2-Dimensional and 3-Dimensional accuracy metrics in X, Y, Z directions. The proposed method results show that the positioning accuracy for all three co-ordinates is up to 34 %, significantly greater than the general approach (Traditional Kalman Filter).