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Unscented Kalman Filter based two-stage estimation of spacecraft position and velocity with single station antenna tracking data

机译:基于SpaceCraft位置和单站天线跟踪数据的空间位置和速度的基于两阶段估计

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In this study, a two-stage approach for estimation of spacecraft's position and velocity by single station antenna tracking data is proposed. In the first stage, direct nonlinear antenna measurements are transformed to linear x-y-z coordinate measurements of spacecraft's position, and statistical characteristics of orbit determination errors are analyzed. Variances of orbit parameters' errors are chosen as the accuracy criteria. In the second stage, the outputs of the first stage are improved by the designed Unscented Kalman Filter (UKF) for estimation of the spacecraft's position and velocity on indirect linear x-y-z measurements. In simulations, position and velocity values of a geostationary satellite are found via proposed two-stage procedure.
机译:在该研究中,提出了一种通过单站天线跟踪数据估计航天器位置和速度的两级方法。在第一阶段,直接非线性天线测量被转换为航天器位置的线性X-Y-Z坐标测量,分析了轨道确定误差的统计特征。轨道参数的差异选择为准确标准。在第二阶段,通过设计的Uncented Kalman滤波器(UKF)改善了第一阶段的输出,用于估计间接线性X-Y-Z测量的航天器的位置和速度。在模拟中,通过提出的两阶段程序发现了地球静止卫星的位置和速度值。

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