TY - GEN
T1 - Research on line-of-sight rate estimation of strapdown seeker
AU - Wang, Pei
AU - Zhang, Ke
AU - Nie, Cong
PY - 2014
Y1 - 2014
N2 - As a new type of guidance technology, the strapdown imaging guidance technology, which helps improve the system reliability and reduce costs efficiently, has been paid great attention and developed quickly. However, the detecting information of strapdown seeker can't be used to proportional navigation directly because it is coupled with missile attitude. A method to estimate the inertial Line-of-Sight (LOS) rate of strapdown imaging seeker based on Cubature Kalman filter (CKF) and Tracking-Differentiator (TD) was presented. As there were high nonlinearity in both state and measurement equations and more serious non-Gaussian noise in the measurements, the Extended Kalman filter (EKF) could not completely meet the requirements of filtering. Compared with EKF and Unscented Particle filter(UKF), CKF was a congruent method for states estimating in the conditions of nonlinearity and non-Gaussian noise. CKF was applied to estimate the LOS rate of strapdown imaging seeker. Because measurement noise of missile attitude will be reflected in estimation result, TD was used to decrease noise of the missile attitude measurements for improving the estimation precision. Monte Carlo simulation results show that the proposed method can improve the precision of guidance.
AB - As a new type of guidance technology, the strapdown imaging guidance technology, which helps improve the system reliability and reduce costs efficiently, has been paid great attention and developed quickly. However, the detecting information of strapdown seeker can't be used to proportional navigation directly because it is coupled with missile attitude. A method to estimate the inertial Line-of-Sight (LOS) rate of strapdown imaging seeker based on Cubature Kalman filter (CKF) and Tracking-Differentiator (TD) was presented. As there were high nonlinearity in both state and measurement equations and more serious non-Gaussian noise in the measurements, the Extended Kalman filter (EKF) could not completely meet the requirements of filtering. Compared with EKF and Unscented Particle filter(UKF), CKF was a congruent method for states estimating in the conditions of nonlinearity and non-Gaussian noise. CKF was applied to estimate the LOS rate of strapdown imaging seeker. Because measurement noise of missile attitude will be reflected in estimation result, TD was used to decrease noise of the missile attitude measurements for improving the estimation precision. Monte Carlo simulation results show that the proposed method can improve the precision of guidance.
KW - Cubature kalman filter
KW - LOS rate estimation
KW - Strapdown seeker
KW - Tracking-differentiator
UR - http://www.scopus.com/inward/record.url?scp=84902080894&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.556-562.3739
DO - 10.4028/www.scientific.net/AMM.556-562.3739
M3 - 会议稿件
AN - SCOPUS:84902080894
SN - 9783038351153
T3 - Applied Mechanics and Materials
SP - 3739
EP - 3744
BT - Mechatronics Engineering, Computing and Information Technology
PB - Trans Tech Publications
T2 - 2014 International Conference on Mechatronics Engineering and Computing Technology, ICMECT 2014
Y2 - 9 April 2014 through 10 April 2014
ER -