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A Method of Autonomous Orbit Determination Applied to LEO Satellite

机译:一种应用于LEO卫星的自主定轨方法

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摘要

The observation data which was from spaceborne sensors and earth sensors was conversed appropriately to make the position of the satellite unit vector observation equation for linearized equations, with small amount of calculation and more intuitive physical significance. Through the method of least squares to stimulate the relationship between satellite orbit altitude and geomagnetic field intensity, using magnetometer observation data to obtain geocentric distance. The satellite initial orbit was determined by Lagrange difference algorithm, provide initial value for the filter; One of the key factors that influence the performance of the filter is that two body dynamic orbit model of first-order linear approximation is introduced into the system model. Application of the first derivative of the function value alternative to a linear combination of higher order derivatives of the function value can make the error of differential linearity reduced greatly. In the process of filter designing, apply this method to the state equation linear processing, greatly improved the linear precision of filter state equation. And simulation results show that this kind of low-orbit satellites determination method is effective and feasible.
机译:对来自星载传感器和地球传感器的观测数据进行了适当的换算,从而使卫星单位矢量观测方程的位置线性化,计算量少,物理意义更直观。通过最小二乘法刺激卫星轨道高度与地磁场强度之间的关系,利用磁力计观测数据获得地心距。卫星初始轨道由拉格朗日差分算法确定,为滤波器提供初始值;影响滤波器性能的关键因素之一是将一阶线性逼近的两体动态轨道模型引入系统模型。将函数值的一阶导数替换为函数值的高阶导数的线性组合,可以使差分线性的误差大大降低。在滤波器设计过程中,将该方法应用于状态方程的线性处理,大大提高了滤波器状态方程的线性精度。仿真结果表明,这种低轨道卫星的确定方法是有效可行的。

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