Simulation study on star pair angular separation measurement error estimation using star images acquired by low-cost star trackers
Yan Ouyang, Chengliang Wang, Binbin Shi, Wenjie Li, Shuwen Wang, ShiFei Li
Abstract
Yan Ouyang, Chengliang Wang, Binbin Shi, Wenjie Li, Shuwen Wang, ShiFei Li
Abstract
For star images obtained by star sensors, how to precisely and quickly estimate the measurement accuracy of angular distance between different magnitude stars still remains a challenge problem. In this paper, on the basis of analyzing the standard deviation of star centroid position bias, a theoretical measurement accuracy determination model of inter-star angles is proposed. However, this method has its limitation and can only be used to help design low-cost star trackers which commonly have small field-of-view (FOV) (no larger than 4° × 4°) Experiments on the simulated star maps show the effectiveness of proposed model.
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For star images obtained by star sensors, how to precisely and quickly estimate the measurement accuracy of angular distance between different magnitude stars still remains a challenge problem. In this paper, on the basis of analyzing the standard deviation of star centroid position bias, a theoretical measurement accuracy determination model of inter-star angles is proposed. However, this method has its limitation and can only be used to help design low-cost star trackers which commonly have small field-of-view (FOV) (no larger than 4° × 4°) Experiments on the simulated star maps show the effectiveness of proposed model.
Key concepts: Star tracker, Star (game theory), A* search algorithm, Stars, Centroid, BitTorrent tracker, Standard deviation, Computer science