摘要
在星敏感器在轨测量的星像点偏移和星敏感器光学透镜焦距变化条件下研究了一种自主在轨标定算法。由最小二乘最优估计法在轨标定星敏感器星像点偏移和光学透镜焦距变化,以最小二乘最优估值为量测,用卡尔曼滤波算法设计了星敏感器在轨自主标定模型。仿真结果表明:该算法可准确标定星敏感器星像点偏移和透镜焦距变化。
The algorithm of autonomous on-orbit self calibrating was studied when the principal point was offset and focal length for camera was changed in this paper.The principal point offset and focal length were estimated on-orbit by the least squares optimal method.The on-orbit self calibrating was designed by Kalman filter while the optimal estimation of the least squares served as measurement.The simulation results showed that the principal point offset and focal length would be calibrated by this algorithm.
出处
《上海航天》
北大核心
2008年第3期6-10,共5页
Aerospace Shanghai
基金
973国家安全重大基础研究(5131201)
863国家高技术支持(2006AA702201
2006AA702106)
关键词
星敏感器
在轨标定
最小二乘最优估计
卡尔曼滤波
星像点偏移
透镜焦距变化
Star sensors
On-orbit calibration
Least squares optimal estimation
Kalman filter
Principal point offset
Focal length changing
