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Comparison of EKF and UKF for Spacecraft Localization via Angle Measurements

机译:通过角度测量比较EKF和UKF在航天器定位中的作用

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The performance of two nonlinear estimators is compared for the localization of a spacecraft. It is assumed that range measurements are not available (as in deep space missions), and the localization problem is tackled on the basis of angles-only measurements. A dynamic model of the spacecraft accounting for several perturbing effects, such as Earth and Moon gravitational field asymmetry and errors associated with the Moon ephemerides, is employed. The measurement process is based on elevation and azimuth of Moon and Earth with respect to the spacecraft reference system. Position and velocity of the spacecraft are estimated using both the extended Kalman filter (EKF) and the unscented Kalman filter (UKF). The behavior of the filters is compared on two sample missions: Earth-to-Moon transfer and geostationary orbit raising.
机译:比较了两个非线性估计器的性能,以进行航天器的定位。假定没有距离测量(如在深空飞行任务中),并且基于仅角度的测量解决了定位问题。使用了考虑了几种扰动效应的航天器动力学模型,例如地球和月球的重力场不对称以及与月球星历表相关的误差。测量过程基于相对于航天器参考系统的月球和地球的高度和方位角。使用扩展卡尔曼滤波器(EKF)和无味卡尔曼滤波器(UKF)估算航天器的位置和速度。在两个示例任务中比较了过滤器的行为:土对月转移和对地静止轨道上升。

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