基于改进动静态滤波的脉冲星/CNS深空探测组合导航方法  

Pulsar/CNS Integrated Navigation Method Based on Improved Kinematic and Static Filter for Deep Space Explorer

作　　者：王奕迪[1] 郑伟[1,2] 安雪滢[1] 孙守明[3] 

机构地区：[1]国防科学技术大学航天科学与工程学院,长沙410073 [2]空间智能控制技术国家级重点实验室,北京100190 [3]西安卫星测控中心宇航动力学国家重点实验室,西安710043

出　　处：《中国空间科学技术》2013年第5期22-28,共7页Chinese Space Science and Technology

基　　金：国家自然科学基金(10973048);航天飞行动力学技术重点实验室开放基金(AFDL2012002)资助项目

摘　　要：为了提高深空探测器的自主导航系统性能,文章提出一种基于改进动静态滤波的脉冲星/CNS组合导航方法。脉冲星观测数据和星光角距信息通过改进动静态滤波器进行信息融合。其中,动态滤波采用UKF处理采样速率快、测量方程非线性强的星光角距测量量,静态滤波采用EKF处理采样速率慢、测量方程线性特征明显的脉冲星测量量,其运行周期可以是动态滤波的若干倍。利用该改进动静态滤波进行组合导航,可避免联邦滤波器中由于各局部滤波器采用相同的状态方程而导致的融合滤波结果不具备最优性的问题。仿真分析表明,基于所提出的组合导航系统,深空探测器的导航精度可提高至10km以内。A Pulsar/CNS integrated navigation algorithm based on the improved kinematic and static filter was proposed. The measurement of pulsar and the stellar angle measurement were fused by the improved kinematic and static filter, in which the UKF was used as the kinematic filter to deal with the stellar angle measurement at a fast sampling velocity and the EKF was used as the static filter to deal with the pulsar measurement at a slow sampling velocity. The proposed improved kinematic and static filter can avoid the correlations between the fusion data sets of different sensors. The simulation results show that the proposed integrated navigation system can improve the performance of the autonomous navigation system adopted by deep space explorer.

关 键 词：脉冲星导航 组合导航 自主导航 信息融合 深空探测 

分 类 号：V476.4[航空宇航科学与技术—飞行器设计]