Extended Kalman Filter for Ship Tracking
Authors
Baoquan Sun, Bing Yan, JiaWei Zhang
Corresponding Author
Baoquan Sun
Available Online July 2016.
- DOI
- 10.2991/iccia-17.2017.101How to use a DOI?
- Keywords
- extended Kalman Filter, electric dipole, state space model.
- Abstract
There are obvious electrostatic field characteristics around the ship. Eelectric dipole in three-layer medium is used to describe the characteristics of the ship. The tracking problem of electric dipole with extend Kalman Filter is studied. First, according to the movement characteristics of the target, state space model is built. Then the extend Kalman Filter is introduced. Simulation results demonstrate that this method is feasible for the field of the real-time tracking of ship with the advantage of high preciseness.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Baoquan Sun AU - Bing Yan AU - JiaWei Zhang PY - 2016/07 DA - 2016/07 TI - Extended Kalman Filter for Ship Tracking BT - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017) PB - Atlantis Press SP - 599 EP - 603 SN - 2352-538X UR - https://doi.org/10.2991/iccia-17.2017.101 DO - 10.2991/iccia-17.2017.101 ID - Sun2016/07 ER -