GPS carrier phase measurement method based on data transition detection in high dynamic circumstance

The problems met in highly dynamic conditions while measuring GPS carrier phase and detecting data transition are analyzed. The signal parameters are estimated through an extended Kalman filter (EKF) algorithm. A simple data transition and parameter correction method is studied vigorously. The tracking performance and tracking error of this simple method are simulated and compared with a no data transition detection method. The simulation shows that this data transition method conduces to improving the precision of phase estimation, and the dynamic performance of the algorithm is ameliorative too.