基于新息趋势的纳卫星地磁定轨  

Geomagnetic Orbit Determination Based on Innovation for Nano-satellite

作　　者：陈贵芳 郁丰 王润[1,2] Chen Guifang;Yu Feng;Wang Run(Key Laboratory of Space Photoelectric Detection and Perception Nanjing University of Aeronautics and Astronautics,Ministry of Industry and Information Technology,Nanjing 210016 China;Nanjing University of Aeronautics and Astronautics,Nanjing 210016 China)

机构地区：[1]“空间光电探测与感知”工信部重点实验室,南京210016 [2]南京航空航天大学航天学院,南京210016

出　　处：《航天控制》2021年第1期20-25,共6页Aerospace Control

基　　金：国家自然科学基金(61673212)。

摘　　要：针对地磁定轨系统受地磁偏差影响精度不高的问题,提出了一种基于新息趋势的自适应地磁定轨算法(AKF)。该算法将地磁偏差建模为随机游走模型,使之参与滤波。在滤波器运行过程中,依据新息的变化趋势,实时调整滤波器状态。以Swarm-A卫星的观测数据的实验表明,该算法和传统滤波器相比具有计算量低,收敛速度快,定位精度高等优点。通过改善地磁偏差的估计性能,该算法提升了系统的定位精度,其最大定位误差为6 km。One of the disadvantages of geomagnetic orbit determination is the poor position accuracy introduced by magnetic bias.An adaptive Kalman filter(AKF)is proposed and the magnetic bias is regarded as a random walk model.The AKF is used to improve the covariance of the system based on the innovation.The filter is evaluated by using the real-flight data of the SWARM-A.The experiment results show that the position error of AKF is 6 km.

关 键 词：地磁场 国际地磁参考场 自适应滤波算法 地磁定轨 地磁偏差 

分 类 号：VI