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Kalman filter simulation and characterization of BDS satellite clock

机译:BDS卫星时钟的卡尔曼滤波器仿真和表征

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In this paper, a Kalman filter algorithm for simulation and characterization of BDS (beidou satellite system) satellite clock in orbit is presented. The algorithm is designed to produce near optimal estimation of characteristic parameters for BDS satellite clock. Besides normal clock noises, white frequency modulation, random walk frequency modulation and random run frequency modulation, the flicker phase modulation and flicker frequency modulation are also considered as the linear combination of several Gauss Markov processes. Additional states are used to model the periodic variations of BDS satellite clock, and the first type model of clock periodic states is used in the paper. It is shown that simulation results fit the real oscillator behavior well.
机译:本文提出了一种卡尔曼滤波算法,用于模拟和表征北斗卫星系统在轨卫星时钟。该算法旨在为BDS卫星时钟产生接近最佳的特征参数估计。除了正常的时钟噪声,白色频率调制,随机游走频率调制和随机运行频率调制外,闪烁相位调制和闪烁频率调制也被视为几种高斯马尔可夫过程的线性组合。使用附加状态来建模BDS卫星时钟的周期性变化,并在本文中使用时钟周期状态的第一类模型。结果表明,仿真结果很好地拟合了真实的振荡器行为。

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