最后，给出了扩展卡尔曼滤波算法、无迹卡尔曼滤波算法和粒子滤波算法的推导过程和仿真分析。

Finally, the computational procedures and simulation analysis of extended Kalman filtering algorithm, unscented Kalman filtering algorithm and particle filtering algorithm is presented.

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再以该近似解和协方差矩阵为初值，由无迹卡尔曼滤波(ukf)实时估计双差整周模糊度的精确解。

Then the float ambiguity resolution was passed into an unscented Kalman filter as initial state value. UKF estimated the precise ambiguity resolution in real time with the initial value.

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在分析高动态载波信号模型的基础上，提出了一种基于无迹卡尔曼滤波(ukf)的准开环载波跟踪方法。

After analyzing the model of high dynamic signals, a quasi-open-loop carrier tracking method based on unscented Kalman filter (UKF) is proposed.

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