TY - GEN
T1 - A method for line of sight angle rate reconstruction based on strapdown seeker
AU - Nie, Cong
AU - Zhang, Ke
AU - Wang, Pei
AU - Lv, Meibo
N1 - Publisher Copyright:
© 2014. The authors - Published by Atlantis Press.
PY - 2014
Y1 - 2014
N2 - The line of sight (LOS) information which detected by strapdown seeker is coupled with missile attitude information. On the other hand, since the instantaneous field of view is wider, the noise levels of strapdown seeker are higher than those of conventional gimbals seeker. According to the relationship among coordinates which are used to describe motion of missile, analysis of the attitude decoupling algorithm was deduced in detail. Based on the proposed algorithm, the LOS reconstruction filter was designed to obtain more precise line of sight angle, where, the theory of Central Difference Kalman Filter (CDKF) which based on Central Difference (CD) method was applied to deal with the filtering problem of nonlinear system. Compared with EKF, the solving of Jacobi matrixs can be avoided and only one adjustable parameter h was introduced which leads to a reduction of the computational cost. Based on this, the algorithm was suitable for engineering application. The results of computer simulation confirmed the validity of the proposed inertial LOS reconstruction filter, which can be used to improve the precision of inertial LOS and LOS rate estimation. The method meanwhile can be used as a new method to estimate inertial LOS rate.
AB - The line of sight (LOS) information which detected by strapdown seeker is coupled with missile attitude information. On the other hand, since the instantaneous field of view is wider, the noise levels of strapdown seeker are higher than those of conventional gimbals seeker. According to the relationship among coordinates which are used to describe motion of missile, analysis of the attitude decoupling algorithm was deduced in detail. Based on the proposed algorithm, the LOS reconstruction filter was designed to obtain more precise line of sight angle, where, the theory of Central Difference Kalman Filter (CDKF) which based on Central Difference (CD) method was applied to deal with the filtering problem of nonlinear system. Compared with EKF, the solving of Jacobi matrixs can be avoided and only one adjustable parameter h was introduced which leads to a reduction of the computational cost. Based on this, the algorithm was suitable for engineering application. The results of computer simulation confirmed the validity of the proposed inertial LOS reconstruction filter, which can be used to improve the precision of inertial LOS and LOS rate estimation. The method meanwhile can be used as a new method to estimate inertial LOS rate.
KW - Central difference Kalman filter
KW - Fadin-Memory filter
KW - LOS rate reconstruction
KW - Strapdown seeker
UR - http://www.scopus.com/inward/record.url?scp=84928037313&partnerID=8YFLogxK
U2 - 10.2991/meic-14.2014.147
DO - 10.2991/meic-14.2014.147
M3 - 会议稿件
AN - SCOPUS:84928037313
T3 - 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering, MEIC 2014
SP - 658
EP - 662
BT - 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering, MEIC 2014
PB - Atlantis Press
T2 - 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering, MEIC 2014
Y2 - 15 November 2014 through 17 November 2014
ER -