Maneuverable Warhead Tracking Based on CKF
Zhimin Xiong, Dangwei Wang, Xiao Yan
Available Online September 2016.
- https://doi.org/10.2991/iccia-16.2016.13How to use a DOI?
- Maneuverable Warhead; Cubature Kalman Filter; Ballistic Tracking.
- The performance of contemporary weapon systems has been enhanced by the development of military high-tech, which makes the maneuverable warhead as a new challenge of ballistic midcourse tracking. Aiming to solve the maneuvering warhead tracking, nonlinear filter algorithm, which is specially designed to track target with time-changing state and measurement models, is proposed. Recently the cubature Kalman filter (CKF) has been proposed to estimate the nonlinear system, providing more accurate state estimation. In this paper, the midcourse maneuvering warhead movement and measurement models are established. Then the cubature Kalman filter is presented to track the maneuvering warhead. The simulation results demonstrate the improved performance of CKF over traditional Kalman filter, which shows the shorter execution time of the former algorithm than the latter and the faster rate of convergence.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhimin Xiong AU - Dangwei Wang AU - Xiao Yan PY - 2016/09 DA - 2016/09 TI - Maneuverable Warhead Tracking Based on CKF BT - 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016) PB - Atlantis Press SP - 64 EP - 71 SN - 2352-538X UR - https://doi.org/10.2991/iccia-16.2016.13 DO - https://doi.org/10.2991/iccia-16.2016.13 ID - Xiong2016/09 ER -