文档介绍：测绘与空间地理信息
第 34 卷第 5 期 Vol. 34,No. 5
2011 年 10 月 GEOMATICS & SPATIAL INFORMATION TECHNOLOGY Oct. ,2011
基于 UKF 滤波的近地卫星自主组合导航方法研究
马旭辉1 ,郭强2 ,赵灵琳2
( , ;
1. 河南省地质矿产勘查开发局第一水文地质工程队河南郑州 450000
, )
2. 湖北大禹水利水电建设有限责任公司湖北武汉 430061
摘要:安全可靠的自主导航系统可提高卫星的在轨生存能力。文章研究了利用紫外敏感器测量得到的地心方
向信息和星敏感器、红外地平仪获得的星光角距信息进行卫星轨道确定的自主组合导航方法。针对导航系统非
线性的特点,采用 Unscented 卡尔曼滤波( UKF) 设计了相关的信息融合方案,并通过数学仿真对其有效性进行了
分析和验证。仿真结果表明,该算法可进一步提高导航系统的精度和可靠性。
关键词:自主导航; UKF 滤波; 信息融合
中图分类号:P228 文献标识码:B 文章编号:1672 - 5867(2011)05 - 0177 - 03
An Autonomous Navigation Method for Low Satellite Based
on Unscented Kalman Filter
1 , 2 , 2
MA Xu - hui GUO Qiang ZHAO Ling - lin
(
1. The First Team of Hydrogeological and Engineering Geology of Henan Provincial Bureau of Geology Exploration
, , ;
and Mineral Development Zhengzhou 450000 China
, , , )
2. Hubei Dayu Water Resource & Hydroelectric Construction Co. Ltd. Wuhan 430061 China
:
Abstract A reliable and secure navigation system can improve the survival capability of satellite. A new autonomous navigation meth-
od based on information fusion is presented. It uses the direction of the earth center vector from the ultraviolet sensor and the star -
,
light - angle from the star sensor and infrared earth sensor as the measures. For the nonlinear using the Unscented Kalman Filter
( )
UKF demonstrate the feasibility and effectiveness of this m