Open AccessStar centroiding error compensation for intensified star sensors
Author(s) -
Jie Jiang,
Kun Xiong,
Wenbo Yu,
Jiwang Yan,
Guangjun Zhang
Publication year - 2016
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.24.029830
Subject(s) - image intensifier , computer science , compensation (psychology) , star (game theory) , sensitivity (control systems) , optics , physics , projection (relational algebra) , detector , calibration , interpolation (computer graphics) , image sensor , artificial intelligence , image (mathematics) , algorithm , astrophysics , electronic engineering , psychology , quantum mechanics , psychoanalysis , engineering
A star sensor provides high-precision attitude information by capturing a stellar image; however, the traditional star sensor has poor dynamic performance, which is attributed to its low sensitivity. Regarding the intensified star sensor, the image intensifier is utilized to improve the sensitivity, thereby further improving the dynamic performance of the star sensor. However, the introduction of image intensifier results in star centroiding accuracy decrease, further influencing the attitude measurement precision of the star sensor. A star centroiding error compensation method for intensified star sensors is proposed in this paper to reduce the influences. First, the imaging model of the intensified detector, which includes the deformation parameter of the optical fiber panel, is established based on the orthographic projection through the analysis of errors introduced by the image intensifier. Thereafter, the position errors at the target points based on the model are obtained by using the Levenberg-Marquardt (LM) optimization method. Last, the nearest trigonometric interpolation method is presented to compensate for the arbitrary centroiding error of the image plane. Laboratory calibration result and night sky experiment result show that the compensation method effectively eliminates the error introduced by the image intensifier, thus remarkably improving the precision of the intensified star sensors.