Application of Adaptive Kalman Filter in High Dynamic GNSS Signal Carrier Tracking

Abstract

In order to obtain more accurate results, an adaptive Kalman filter is proposed to track Global Navigation Satellite System (GNSS) signal carrier in the presence of high dynamic. After reviewing the classical adaptive methods, an improved adaptive method is discussed theoretically. The improved adaptive Kalman filter is well set in terms of the GNSS signal model. Simulation results indicate that the new method can directly track GNSS signal carrier and performs better than PLL and classical adaptive methods.