张垚, 龚宜, 王巧. 基于Kalman滤波预测主动段卫星测控信号质量的方法[J]. 微电子学与计算机, 2012, 29(6): 134-137.
引用本文: 张垚, 龚宜, 王巧. 基于Kalman滤波预测主动段卫星测控信号质量的方法[J]. 微电子学与计算机, 2012, 29(6): 134-137.
ZHANG Yao, GONG Yi, WANG Qiao. Prediction Mthod for Stellite Measurement Signal Quality in Boost Phase Based on Kalman Filtering Arithmetic[J]. Microelectronics & Computer, 2012, 29(6): 134-137.
Citation: ZHANG Yao, GONG Yi, WANG Qiao. Prediction Mthod for Stellite Measurement Signal Quality in Boost Phase Based on Kalman Filtering Arithmetic[J]. Microelectronics & Computer, 2012, 29(6): 134-137.

基于Kalman滤波预测主动段卫星测控信号质量的方法

Prediction Mthod for Stellite Measurement Signal Quality in Boost Phase Based on Kalman Filtering Arithmetic

  • 摘要: 通过建立卫星运动学模型,采用kalnmn滤波算法得到主动段卫星飞行弹道的最优估计以及卫星飞行姿态变化情况,利用其与卫星天线辐射方向图的对应关系,修正星地理论接收电平,最终实现主动段卫星姿态变化情;兄下,星地测控信号质量的预测,为地面决策指挥提『盐科学的信息支持。

     

    Abstract: By establishing a satellite kinematic model,an optimal estimating based on Kalman filtering theory method for the flight trajectory of satellite in boost phase and the satellite attitude variation were gained.Through the relationship between them and the satellite antenna radiation direction figure,the satellite-ground theoretical received level data is amended and the quality of satellite-ground measurement signal in satellite attitude variations in boost phase is predicted,providing scientific information for decision support on the ground.

     

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