Abstract:In order to solve problems of that three-axis attitude accuracy is not consistent of single head star tracker, improve data updating rate and real-time performance, a distributed FOV-fusion algorithm based on multiple heads star tracker is proposed. The algorithm controls these heads work alternately on the equal time intervals, rectify the observation star vectors on the time and space of two heads working successively, after that fuse star vectors to acquire the attitude quaternion using QUEST algorithm. Finally, the simulation results show that the attitude accuracy of light-axis improved 8~9 times, the data updating rate improved at least 3 times as before, which made the real-time performance better.