TY - GEN
T1 - Line of sight rate estimation of strapdown imaging guidance system based on Unscented Kalman Filter
AU - Zhang, Guo Jiang
AU - Yao, Yu
AU - Ma, Ke Mao
PY - 2005
Y1 - 2005
N2 - Models of the strapdown imaging guidance system are derived and corresponding estimation problem is considered in this paper. In comparison with the conventional imaging guidance systems, there are high nonlinearity in both process and measurement models, and measurement is more seriously corrupted by noise since wider instantaneous field of view for the stapdown imaging seeker. Considering these properties, the Unscented Kalman Filter (UKF) is applied to estimate line of sight (LOS) rate. The UKF propagates statistics of random variable more accurately than the Extended Kalman Filter (EKF) does for nonlinear system. Furthermore, the UKF avoids calculating Jacobian matrices which are complicated usually, and sometimes singular and thus infeasible for the EKF. At the last, Monte Carlo simulations are performed, and results show that the UKF is superior to the EKF for the strapdown imaging guidance system.
AB - Models of the strapdown imaging guidance system are derived and corresponding estimation problem is considered in this paper. In comparison with the conventional imaging guidance systems, there are high nonlinearity in both process and measurement models, and measurement is more seriously corrupted by noise since wider instantaneous field of view for the stapdown imaging seeker. Considering these properties, the Unscented Kalman Filter (UKF) is applied to estimate line of sight (LOS) rate. The UKF propagates statistics of random variable more accurately than the Extended Kalman Filter (EKF) does for nonlinear system. Furthermore, the UKF avoids calculating Jacobian matrices which are complicated usually, and sometimes singular and thus infeasible for the EKF. At the last, Monte Carlo simulations are performed, and results show that the UKF is superior to the EKF for the strapdown imaging guidance system.
KW - LOS rate
KW - Nonlinear estimation
KW - Strapdown imaging guidance
KW - Unscented Kalman Filter
UR - https://www.scopus.com/pages/publications/28444482070
U2 - 10.1109/ICMLC.2005.1527195
DO - 10.1109/ICMLC.2005.1527195
M3 - 会议稿件
AN - SCOPUS:28444482070
SN - 078039092X
SN - 9780780390928
T3 - 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
SP - 1574
EP - 1578
BT - 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
PB - IEEE Computer Society
T2 - International Conference on Machine Learning and Cybernetics, ICMLC 2005
Y2 - 18 August 2005 through 21 August 2005
ER -