摘要
针对多敏感器组成的卫星姿态确定系统,采用四元数方法建立卫星姿态估计器模型,应用扩展卡尔曼滤波EKF算法进行信息融合,通过仿真算例验证此算法具有较高的精度。与此同时,在EKF算法基础上提出一种定常增益的卡尔曼滤波CGKF算法。通过数学仿真对EKF算法和CGKF算法进行比较分析,证明在一定条件下CGKF算法具有与EKF算法相当的滤波精度,并且简化后的CGKF算法在获得与EKF算法相近滤波效果的同时,还能够节约星上资源,减少计算量。
The Satellite attitude deterministic system is comprised by sensors,for that,we use the quaternion to establish the satellite attitude estimator model,and use the Extended Kalman Filter fuse the information.The simulation results show that the algorithm has high precision.At the same time,based on EKF,we put forward the constant Gain Kalman Filter,which is compared with EKF by mathematical simulations.The simulation results prove that on certain conditions CGKF has considerable filtering precision as EKF.In addition,the simplified CGKF algorithm can get the similar filtering effect as EKF,what's more,it can also save the satellite resources and reduce the calculating amount.
出处
《遥测遥控》
2011年第6期52-57,共6页
Journal of Telemetry,Tracking and Command
关键词
姿态确定
敏感器
四元数
扩展卡尔曼滤波
Attitude determination
Sensor
Quaternion
Extended Kalman Filter