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Use of spaceborne GPS Navigation sensor for autonomous LEO orbit determination

机译:使用星载GPS导航传感器确定自主LEO轨道

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摘要

In this paper, a simple but fairly accurate algorithm, to determine orbit of the Low Earth Orbit (LEO) satellite, in its real time and with low computational burden is reported. This is done by using raw navigation solution provided by GPS Navigation sensor. A fixed step-size Runge-Kutta 4th order numerical integration method is selected for orbit propagation. Both, the Least square and Extended Kalman Filter (EKF) orbit estimation algorithms are developed and the results of the same are compared with each other. The least square algorithm converges after seven iterations. In the case of EKF, the algorithm converges after three iterations. Hence, EKF algorithm satisfies the criterions of low computation burden which is required for autonomous orbit determination.
机译:在本文中,报告了一种简单但相当准确的算法,该算法可实时,低计算量地确定低地球轨道(LEO)卫星的轨道。这是通过使用GPS导航传感器提供的原始导航解决方案来完成的。选择固定步长的Runge-Kutta 4 阶数值积分方法进行轨道传播。开发了最小二乘和扩展卡尔曼滤波(EKF)轨道估计算法,并将它们的结果相互比较。最小二乘算法在七次迭代后收敛。在EKF的情况下,该算法在三次迭代后收敛。因此,EKF算法满足自主轨道确定所需的低计算量标准。

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