A factorization and least-squares method for multi-pass sensor alignment calibration

被引：0
|
作者：
Pittelkau, ME [1 ]
机构：
[1] Orbital Sci Corp, Germantown, MD 20874 USA
来源：
SPACEFLIGHT MECHANICS 2001, VOL 108, PTS 1 AND 2 | 2001年 / 108卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Least-squares and Kalman filter algorithms are developed to optimally combine spacecraft sensor alignment calibration estimates from several calibration scenarios to produce a composite estimate that is of much greater accuracy. This is useful in systems where individual estimates may be of limited accuracy or not completely identifiable due to operational or physical constraints on calibration maneuvers or due to thermal variations. The effectiveness of the algorithm is demonstrated via simulation results using both idealized and realistic attitude maneuvers.
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页码：693 / 700
页数：6
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