基于ASUKF的火星探测器脉冲星自主导航方法

宁晓琳; 马辛; 张学亮; 武瑾媛

基于ASUKF的火星探测器脉冲星自主导航方法

北京航空航天大学仪器科学与光电工程学院, 北京 100191

基金项目: 国家自然科学基金资助项目(60874095,60736025); 国防基础科研资助项目; 北京市优秀博士论文指导教师资助项目(YB20091000601); 国家973计划资助项目(2009CB724002)

详细信息

作者简介:
宁晓琳(1979-),女,山东济南人,副教授,ningxiaolin@buaa.edu.cn.

中图分类号: V 488.22⁺4
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- 被引次数: 0
出版历程
- 收稿日期: 2010-09-02
- 网络出版日期: 2012-01-30

Autonomous pulsars navigation method based on ASUKF for Mars probe

School of Instrument Science and Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

摘要: 脉冲星导航可靠、稳定、精度高, 是实现火星探测器自主导航的有效手段之一.针对脉冲星导航中脉冲到达时间的微小误差会引起巨大的位置估计误差这一问题,提出了一种基于扩维Unsented卡尔曼滤波(ASUKF,Augmented State Unscented Kalman Filter)的火星探测器脉冲星自主导航方法,建立了以位置、速度和脉冲到达时间的常值测量误差作为状态量的导航系统数学模型,可在对探测器位置、速度进行估计的同时有效估计并修正脉冲到达时间的常值测量误差,并降低随机测量误差的影响.仿真结果表明该方法的导航定位精度可达350m以内,可以满足火星探测自主导航的需要.
- 脉冲星 /
- 自主导航 /
- 火星探测 /
- 扩维Unsented卡尔曼滤波
Abstract: Autonomous navigation using pulsars is characterized by its steady, credible performance, high navigation accuracy, which is suitable for mars probe. Because errors in photons time of arrival reduce location accuracy, a kind of pulsars navigation method based on ASUKF (augmented state unscented Kalman filter) was presented. System models using position, velocity and constant error in time of arrival as state parameters were built. The method could not only estimate and correct the constant error in photons time of arrival, but reduce the influence of random error as well. Simulations show that a estimated position error within 350m is obtained, which demonstrates this method can satisfy the requirements of Mars exploration.
- pulsars /
- autonomous navigation /
- Mars exploration /
- augmented state unscented Kalman filter(ASUKF)

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