A novel tracking model was proposed for high dynamic condition under which the traditional GPS signal tracking method has a high probability of losing lock as well as a low accuracy. The output from a large number of correlators with wide ranges of uncertainty in code phase and carrier phase were used. An optimized iterated extended Kalman filter algorithm based on the Levenberg-Marquardt method was also implemented to process the output from the correlators, despite large acquisition errors. The simulation results show that the new model performs well in tracking a high dynamic GPS signal with an acceleration of 150 g.