TY - GEN
T1 - Single star identification and attitude determination in tracking mode
AU - Masood-Ur-Rehman,
AU - Jiancheng, Fang
AU - Saffih, Faycal
AU - Wei, Quan
PY - 2008
Y1 - 2008
N2 - The autonomous star trackers are among the most attractive attitude sensors, as they are capable to provide three-axis attitude information with high accuracy. Autonomous star tracker's basic software algorithms include Star image centroiding, Star Pattern Recognition (SPR) and attitude determination. In the last few decades many SPR algorithms have been presented, almost all of them need at least two or three stars in star image, for successful SPR. Similarly almost all of the existing attitude determination algorithms need at least two identified stars in the star image. In the worst case if there is only one star in the image then SPR and hence the attitude determination becomes a problem. Just star magnitude alone can not be used to identify one star reliably due to poor magnitude measurement accuracy. However the scheme of automatic pattern recognition based on predictive centroiding in tracking mode, can be used to identify a single star. The position information of this identified single star can be used to form one or more empirical image stars from the reference catalog stars, for attitude determination. In this paper the problem of single star identification and attitude determination is addressed. Simulation results show that the proposed method to calculate the attitude has good accuracy, and it depends on the star tracker calibration and centroiding accuracies. This scheme is particularly useful in case where single star is identified and no other scheme can be used.
AB - The autonomous star trackers are among the most attractive attitude sensors, as they are capable to provide three-axis attitude information with high accuracy. Autonomous star tracker's basic software algorithms include Star image centroiding, Star Pattern Recognition (SPR) and attitude determination. In the last few decades many SPR algorithms have been presented, almost all of them need at least two or three stars in star image, for successful SPR. Similarly almost all of the existing attitude determination algorithms need at least two identified stars in the star image. In the worst case if there is only one star in the image then SPR and hence the attitude determination becomes a problem. Just star magnitude alone can not be used to identify one star reliably due to poor magnitude measurement accuracy. However the scheme of automatic pattern recognition based on predictive centroiding in tracking mode, can be used to identify a single star. The position information of this identified single star can be used to form one or more empirical image stars from the reference catalog stars, for attitude determination. In this paper the problem of single star identification and attitude determination is addressed. Simulation results show that the proposed method to calculate the attitude has good accuracy, and it depends on the star tracker calibration and centroiding accuracies. This scheme is particularly useful in case where single star is identified and no other scheme can be used.
KW - Attitude determination
KW - Autonomous navigation
KW - Image centroiding
KW - Pattern recognition
KW - Star tracker
UR - https://www.scopus.com/pages/publications/58149088214
U2 - 10.1109/ICCAS.2008.4694319
DO - 10.1109/ICCAS.2008.4694319
M3 - 会议稿件
AN - SCOPUS:58149088214
SN - 9788995003893
T3 - 2008 International Conference on Control, Automation and Systems, ICCAS 2008
SP - 1121
EP - 1124
BT - 2008 International Conference on Control, Automation and Systems, ICCAS 2008
T2 - 2008 International Conference on Control, Automation and Systems, ICCAS 2008
Y2 - 14 October 2008 through 17 October 2008
ER -