Low estimation precision and high loss-of-lock threshold are the two important drawbacks of the EKF which is widely
used for high dynamic GPS frequency estimate. To resolve the problems of the EKF, a novel algorithm based on
unscented Kalman filter (UKF) is introduced to estimate frequency, and the UKF is simplified according to the linearity
of the state equation, which is the feature of the frequency estimate. The simulations indicate that the loss-of-lock
threshold of the novel algorithm is lower than that of the EKF, the estimation precision is improved compared with that
of the EKF, and the novel algorithm has similar performance as the UKF, but the computational complexity of the novel
algorithm is less than that of the UKF.
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