| 基于UKF滤波的近地卫星自主组合导航方法研究 |
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| 引用本文： | 马旭辉,郭强,赵灵琳.基于UKF滤波的近地卫星自主组合导航方法研究[J].测绘与空间地理信息,2011,34(5):177-179. |
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| 作者姓名： | 马旭辉 郭强 赵灵琳 |
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| 作者单位： | 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 |
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| 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。
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| 关 键 词： | 自主导航 UKF滤波 信息融合 |
An Autonomous Navigation Method for Low Satellite Based on Unscented Kalman Filter |
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| MA Xu-hui,GUO Qiang,ZHAO Ling-lin.An Autonomous Navigation Method for Low Satellite Based on Unscented Kalman Filter[J].Geomatics & Spatial Information Technology,2011,34(5):177-179. |
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| Authors: | MA Xu-hui GUO Qiang ZHAO Ling-lin |
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| Institution: | MA Xu-hui1,GUO Qiang2,ZHAO Ling-lin2 (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) |
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| Abstract: | A reliable and secure navigation system can improve the survival capability of satellite. A new autonomous navigation method 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 method.The simulation results indicate that the fusion method can offer... |
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| Keywords: | autonomous navigation UKF information fusion |
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