摘要
提出将鲁棒扩展卡尔曼滤波(REKF)用于增强X射线脉冲星导航系统克服星表误差影响的能力。指出星表误差可以看作模型不确定性的一部分,采用鲁棒滤波技术进行处理。对REKF和传统扩展卡尔曼滤波(EKF)的性能进行对比。仿真结果表明,存在星表误差的情况下,采用REKF算法进行航天器导航,能够获得优于EKF的定位精度。
The robust extended Kalman filter （REKF） is adopted to overcome the unfavorable effect of the pulsar＇s position error on the pulsar＇ s navigation system in this paper. It is shown that the pulsar＇ s position error can be seen as model uncertainty, and the effect of the uncertainty can be reduced by using the robust filtering technique. The performance of the REKF is illustrated in comparison with the standard EKF. Numerical simulation shows that the REKF is more accurate than the EKF for spacecraft navigation in the presence of pulsar＇ s position error.
出处
《空间控制技术与应用》
2008年第6期8-11,17,共5页
Aerospace Control and Application
基金
国家自然科学基金(60702019)
关键词
航天器
自主导航
脉冲星
扩展卡尔曼滤波
鲁棒滤波
spacecraft
autonomous navigation
pulsar
extended Kalman filter
robust filter
