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Quasi-consistency extended Kalman filter based fusion navigation algorithm for distributed satellites system

机译:基于拟一致性扩展卡尔曼滤波的分布式卫星系统融合导航算法

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摘要

The navigation problem of the distributed satellites system (DSS) employing relative range measurements and some inertial position measurements of partial satellites is investigated. A fusion navigation algorithm based on the quasi-consistency extended Kalman filter (QCEKF) is proposed, which can provide an on-line evaluation of the navigation precision. Additionally, the fusion scheme can ensure that the upper bound for the algorithm is better than that without fusion. The simulations show the effectiveness of the navigation algorithms and the improved navigation precision of the fusion scheme.
机译:研究了采用相对距离测量和部分卫星的一些惯性位置测量的分布式卫星系统(DSS)的导航问题。提出了一种基于拟一致性扩展卡尔曼滤波(QCEKF)的融合导航算法,可以对导航精度进行在线评估。另外,融合方案可以确保算法的上限比没有融合的上限更好。仿真显示了导航算法的有效性以及融合方案的改进的导航精度。

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