Abstract
Attitude update rate is one of the important indicators of star sensor performance. In order to resolve the problem of the low attitude update rate of star sensors, this paper proposes a star sensor attitude update method based on star point correction of rolling shutter exposure. Based on the characteristics of the asynchronous exposure of the rolling shutter, recursive estimation of the motion attitude and the corrected star point information were combined to realize multiple updates of the attitude in a single frame of the star map. Simulation and experimental results proved that the proposed method could increase the attitude update rate of a star sensor by 15 times, up to 150 Hz.
Highlights
IntroductionWenbo Yu et al [6] proposed an enhanced multiple exposure imaging method for star trackers
The attitude update rate of the star sensor is less than 20 Hz
This study proposes a star sensor attitude measurement algorithm with a high update rate based on rolling shutter exposure star point correction
Summary
Wenbo Yu et al [6] proposed an enhanced multiple exposure imaging method for star trackers They recorded N groups of different star positions to form the star image and obtained N groups of the corresponding attitude information, that is, the attitude update rate was increased by N times. This study proposes a star sensor attitude measurement algorithm with a high update rate based on rolling shutter exposure star point correction. The characteristics of asynchronous rolling shutter exposure are utilized to fuse the motion attitude recursive estimation with the corrected star point vector information in order to achieve multiple attitude updates in a single frame of the star map and improve the attitude update rate of the star sensor. The proposed method can flexibly select the attitude update rate based on the number of star points to meet the requirements of attitude update rate in different space missions
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