DocumentCode :
3114677
Title :
Calibration for star tracker with lens distortion
Author :
Yunhai, Geng ; Shuang, Wang ; Binglong, Chen
Author_Institution :
Res. Center of Satellite Technol., Harbin Inst. of Technol., Harbin, China
fYear :
2012
fDate :
5-8 Aug. 2012
Firstpage :
681
Lastpage :
686
Abstract :
A new calibration model was proposed in the paper. Compared with traditional measurement models of star tracker containing principal points offset and focal length parameters only, the new model takes lens distortions into account. Lens distortions related mainly indicate radial distortion and tangential distortion. On the basis of the new measurement model, an easy autonomous calibration method, two-step method, based on least-squares method for star trackers is presented. In the first step, principal points, focal length, and attitude angle, were computed with distortion-free model using non-iterative least-square algorithm. In the second step the distortion parameters were estimated and all parameters were optimized by iteratively algorithm. Then synthetic attitude data and star catalog were adopted in the simulation. The results demonstrated that the proposed measurement model was accurate, and the calibration method of star tracker was available.
Keywords :
calibration; lenses; optical distortion; star trackers; attitude angle; autonomous calibration method; distortion parameters; distortion-free model; focal length parameters; lens distortion; noniterative least-square algorithm; principal points; radial distortion; star tracker; tangential distortion; traditional measurement models; two-step method; Calibration; Computational modeling; Distortion measurement; Lenses; Mathematical model; Nonlinear distortion; Optical distortion; autonomous calibration; error model; lens distortion; star tracker;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-1275-2
Type :
conf
DOI :
10.1109/ICMA.2012.6283224
Filename :
6283224
Link To Document :
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