基于数值算法改进的卡尔曼滤波算法在卫星自主定轨中的应用  

Application Study of Improved Kalman Filter Algorithm Based on Numerical Method in Autonomous Orbit Determination of Satellites

作　　者：曹梦龙[1] 于镭[1] 

机构地区：[1]青岛科技大学自动化与电子工程学院,山东青岛266042

出　　处：《青岛科技大学学报（自然科学版）》2006年第4期352-354,共3页Journal of Qingdao University of Science and Technology:Natural Science Edition

基　　金：国家863计划资助项目(2004AA735080-5)

摘　　要：高精度的自主定轨对探测器实现深空探测任务有着重要的意义,结合利用星光折射角的测量确定卫星轨道的自主导航方案,提出了基于数值算法改进的扩展卡尔曼滤波算法,提高了运算精度,通过仿真验证了该算法的优越性。High precision of autonomous orbit determination is important for the detector to finish detection. In this paper,the scheme of autonomous orbit determination of satellite is described, the extended Kalman filter algorithm based on improved numerical method is put forward. It can improve the precision of the orbit estimation. The advantage of the arithmetic is confirmed by the simulation.

关 键 词：自主轨道确定 卡尔曼滤波 数值算法 计算机仿真 

分 类 号：V448.2[航空宇航科学与技术—飞行器设计]