In view of the contradiction that the GPU processing efficiency was limited under the short update interval and the traditional tracking loop was not robust under the high dynamic scenario under the long update interval, a carrier phase tracking algorithm with long update period for high dynamic scenes was proposed. A low complexity LFM signal parameter estimation algorithm was designed to estimate Doppler and its rate of change at the initial stage of tracking, thereby eliminating most signal dynamics, and during the tracking process, a 4-order Kalman filter was used to precisely track the residual signal phase and dynamic. It is verified by simulation that under the 200 ms update interval, fast and stable tracking of the carrier phase can be realized in sinusoidal motion scenes with Doppler primary/secondary change rates of 800 Hz/s and 64 Hz/s², respectively. The convergence can be achieved with only one update, and the tracking sensitivity is as low as 23 dB-Hz; the phase tracking accuracy is far better than the traditional third-order phase locked loop.