Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)

Anti-interference Tracking Algorithm Based on Structural Random Jump System Theory

Authors
Xuchao Kang, Guangjun He, Feng Chen, Qifang He
Corresponding Author
Xuchao Kang
Available Online June 2018.
DOI
10.2991/eame-18.2018.66How to use a DOI?
Keywords
maneuvering target tracking; random transition system; nonlinear filtering
Abstract

In the process of tracking a maneuvering target, when there is interference, the system parameters and structure will randomly jump. The previous algorithms have less consideration. The thesis applies the structural random jump system theory to the anti-jamming tracking problem of the two sensors, establishes its nonlinear model, completes the algorithm design, and completes the linearization of the nonlinear model. Experimental verification shows that it can effectively solve the problem of stable tracking of the target in the presence of interference and when the two different sensors are switched to each other.

Copyright
© 2018, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
Series
Advances in Engineering Research
Publication Date
June 2018
ISBN
10.2991/eame-18.2018.66
ISSN
2352-5401
DOI
10.2991/eame-18.2018.66How to use a DOI?
Copyright
© 2018, 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  - Xuchao Kang
AU  - Guangjun He
AU  - Feng Chen
AU  - Qifang He
PY  - 2018/06
DA  - 2018/06
TI  - Anti-interference Tracking Algorithm Based on Structural Random Jump System Theory
BT  - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
PB  - Atlantis Press
SP  - 312
EP  - 315
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-18.2018.66
DO  - 10.2991/eame-18.2018.66
ID  - Kang2018/06
ER  -