A Modified Unscented Kalman Filter for Autonomous Navigation of Distributed Satellite Systems

被引：0

作者：

Zhang, Ai ^{[1
]}

Li, Yong ^{[1
]}

机构：

[1] China Acad Space Technol, Qian Xuesen Lab Space Technol, Beijing 100094, Peoples R China

来源：

PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年

关键词：

autonomous navigation; distributed satellite system; unscented Kalman filter; OBSERVABILITY;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

k-order local weak observability is a indication of the observability of nonlinear system. In this paper, it is applied to describing the obserbability of autonomous navigation of a distributed satellite system with relative position measurement only. A modified unscented Kalman filter (UKF) is proposed to improve the accuracy of autonomous orbit determination for the two-satellite system. The navigation algorithm using this method for simultaneously estimating has been presented. It is demonstrated that compared with the general unscented Kalman filter, the modified unscented Kalman filter can raise the accuracy of the navigation system.

引用

页码：5811 / 5816

页数：6

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