Kalman filter used for carrier tracking algorithm based on matched maneuvering target model

For the problem then the traditional Kalman filter does not perform well enough when it is used in high-dynamic carrier tracking, an improved Kalman filter based on the matched maneuvering target model is proposed, which could achieve stable carrier synchronization under high-dynamic conditions. Compared with traditional algorithms, the proposed algorithm is more realistic, with high practical value, and a wide range of applications. Moreover, the tracking system uses a linear Kalman filter without matrix inverse operation, which has low computational complexity and is easy to implement in the real system. Simulation results show that the proposed algorithm is more suitable for the high-dynamic environment, which could significantly improve the tracking accuracy and reduce about 3 dB of the tracking threshold on signal-to-noise ratio.