摘要
以地磁场强度矢量的模为观测量,将Unscented卡尔曼滤波(UKF)用于近地卫星的磁测自主导航。给出了包括采样点生成、时间更新和量测更新的滤波模型,以及卫星瞬时轨道根数的计算公式。仿真结果表明,UKF滤波方法优于扩展卡尔曼滤波(EKF),精度更高。
The unscented Kalman filter （UKF） was applied for geomagnetism autonomous navigation in LEO satellite in this paper when the magnitude of the geomagnetic field vector was served as observed value. The UKF mode of the sampling producing, time update and observation update were given out, and so were computation formula of the satellite instantaneous orbit elements. The simulation results showed that the UKF had higher accuracy, which was better than extended Kalman filter.
出处
《上海航天》
北大核心
2006年第3期16-18,60,共4页
Aerospace Shanghai
关键词
近地卫星
自主导航
地磁导航
UKF滤波
滤波模型
瞬时轨道根数
滤波精度
LEO satellite
Autonomous navigation
Geomagnetism navigation
Unscented Kalman filter
Filtering mode
Instantaneous orbit element
Filtering accuracy
