TY - GEN
T1 - Line-of-sight Estimation for Missile with Censored Measurement
AU - Yang, Linqian
AU - Liu, Kexin
AU - Wang, Zhenqian
AU - Lu, Jinhu
AU - Zhou, Peizhu
N1 - Publisher Copyright:
© 2022 Technical Committee on Control Theory, Chinese Association of Automation.
PY - 2022
Y1 - 2022
N2 - In this paper, we focus on the Line-of-sight(LOS) information estimation for missiles with censored multi-dimensional measurement. To this end, we first construct the nonlinear dynamic relative model between the missile and the target in 3D space to describe the correlated LOS information. Then, we build the measurement model including the censored measurement, which results from view limit constraints and uncensored measurement obtained from the geometric relationship or radars. Next, an Improved Tobit Kalman filter is proposed to realize the measurement with two censoring limits and then the Improved Tobit Kalman filter is combined with the fifth-degree cubature Kalman filter to handle the nonlinearity of the dynamic model. Finally, numerical simulations are given to demonstrate the effectiveness of our proposed algorithm.
AB - In this paper, we focus on the Line-of-sight(LOS) information estimation for missiles with censored multi-dimensional measurement. To this end, we first construct the nonlinear dynamic relative model between the missile and the target in 3D space to describe the correlated LOS information. Then, we build the measurement model including the censored measurement, which results from view limit constraints and uncensored measurement obtained from the geometric relationship or radars. Next, an Improved Tobit Kalman filter is proposed to realize the measurement with two censoring limits and then the Improved Tobit Kalman filter is combined with the fifth-degree cubature Kalman filter to handle the nonlinearity of the dynamic model. Finally, numerical simulations are given to demonstrate the effectiveness of our proposed algorithm.
KW - Improved Tobit Kalman filter
KW - LOS information
KW - Nonlinear system
KW - censored measurement
KW - fifth-degree cubature Kalman filter
UR - https://www.scopus.com/pages/publications/85140456233
U2 - 10.23919/CCC55666.2022.9902044
DO - 10.23919/CCC55666.2022.9902044
M3 - 会议稿件
AN - SCOPUS:85140456233
T3 - Chinese Control Conference, CCC
SP - 3190
EP - 3195
BT - Proceedings of the 41st Chinese Control Conference, CCC 2022
A2 - Li, Zhijun
A2 - Sun, Jian
PB - IEEE Computer Society
T2 - 41st Chinese Control Conference, CCC 2022
Y2 - 25 July 2022 through 27 July 2022
ER -