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Implementation of a Differential Geometric Filter for Spacecraft Formation Orbit Estimation

机译:微分几何滤波器在航天器编队轨道估计中的实现

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The differential geometric filter is implemented to estimate the absolute andrelative positions of the spacecraft in a formation. The extended Kalman Filter isalso implemented as a benchmark for the differential geometric estimation. Onlyrelative positions between the spacecraft are measured. Relative positions are measuredusing a wireless local positioning system (WLPS) installed in all spacecraft. Two different scenarios are studied: (1) the observations include WLPS measurementsonly and (2) the observations include WLPS measurements in addition tomeasurements for the absolute position of one spacecraft made by a radar thattakes measurements from the earth’s surface. Results show that the differentialgeometric estimation has better stability performance and a faster convergencerate compared to the extended Kalman filter.
机译:实施差分几何滤波器以估计航天器在地层中的绝对位置和相对位置。扩展的卡尔曼滤波器也被用作差分几何估计的基准。仅测量航天器之间的相对位置。相对位置使用安装在所有航天器中的无线本地定位系统(WLPS)进行测量。研究了两种不同的方案:(1)观测值仅包括WLPS测量值;(2)观测值除包含由雷达对地表进行测量的一架航天器的绝对位置的测量值之外,还包括WLPS测量值。结果表明,与扩展的卡尔曼滤波器相比,差分几何估计具有更好的稳定性能和更快的收敛速度。

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