Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)

Maneuverable Warhead Tracking Based on CKF

Authors
Zhimin Xiong, Dangwei Wang, Xiao Yan
Corresponding Author
Zhimin Xiong
Available Online September 2016.
DOI
https://doi.org/10.2991/iccia-16.2016.13How to use a DOI?
Keywords
Maneuverable Warhead; Cubature Kalman Filter; Ballistic Tracking.
Abstract
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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
Part of series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-240-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-16.2016.13How to use a DOI?
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  -