基于地磁/光谱红移/太阳光信息的FAUKF自主定轨

FAUKF autonomous orbit determination based on geomagnetic/spectral redshift/sunlight information

针对地磁场模型精度低而引起的低轨卫星导航精度不高问题,提出了一种利用地磁、太阳光、光谱红移多源信息融合的低轨卫星自主导航方法。设计了基于地磁/光谱红移/太阳光信息的联邦自适应无迹卡尔曼滤波器(federal adaptive unscented Kalman filter,FAUKF)滤波自主定轨方案,提出了利用FAUKF滤波,选取太阳光矢量与地磁矢量的夹角的余弦值、地磁场强度、光谱红移信息为观测量,来估计卫星的速度和位置。仿真结果为位置精度465.38m,该算法的精度要高于单纯的地磁导航,滤波的收敛性和稳定性较好,导航误差不随时间累积,有工程应用价值。

Aiming at the low navigation precision of the low earth orbit satellite caused by the low precision of the geomagnetic field model,an autonomous navigation method for low earth orbit satellite is proposed by fusing geomagnetic,sunlight and spectral redshift information.The federal adaptive unscented Kalman filter(FAUKF)autonomous orbit determination scheme is designed based on geomagnetic/spectral redshift/sunlight information.The cosine of the included angle between the sunlight vector and the geomagnetic vector,the intensity of the geomagnetic field and the spectral redshift information are taken as the observational quantities to estimate the speed and position of the satellite.The simulation result is the position accuracy of465.38m.The accuracy of the algorithm is higher than pure geomagnetic navigation,the convergence and stability of the filtering is good,the navigation error does not accumulate with time,and has engineering application value.