TY - GEN
T1 - Kalman filter innovation sequence based fault detection in LEO satellite attitude determination and control system
AU - Okatan, A.
AU - Hajiyev, Ch
AU - Hajiyeva, U.
PY - 2007
Y1 - 2007
N2 - In this paper, fault detection algorithm for LEO satellite attitude determination and control system using an approach for checking the statistical characteristics of Extended Kalman filter (EKF) innovation sequence is proposed. It is based on given statistics for the mathematical expectation of the spectral norm of the normalized innovation matrix of the EKF. The attitude dynamics of the LEO satellite as an example, is considered, and detection of various sensor faults affecting the mean and variance is examined.
AB - In this paper, fault detection algorithm for LEO satellite attitude determination and control system using an approach for checking the statistical characteristics of Extended Kalman filter (EKF) innovation sequence is proposed. It is based on given statistics for the mathematical expectation of the spectral norm of the normalized innovation matrix of the EKF. The attitude dynamics of the LEO satellite as an example, is considered, and detection of various sensor faults affecting the mean and variance is examined.
UR - https://www.scopus.com/pages/publications/46449110619
U2 - 10.1109/RAST.2007.4284023
DO - 10.1109/RAST.2007.4284023
M3 - Conference contribution
AN - SCOPUS:46449110619
SN - 1424410576
SN - 9781424410576
T3 - Proceedings of the 3rd International Conference on Recent Advances in Space Technologies, RAST 2007
SP - 411
EP - 416
BT - Proceedings of the 3rd International Conference on Recent Advances in Space Technologies, RAST 2007
T2 - 3rd International Conference on Recent Advances in Space Technologies, RAST 2007
Y2 - 14 June 2007 through 16 June 2007
ER -