Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

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/).

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Volume Title
Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
10.2991/iccia-17.2017.101How to use a DOI?
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  -