Anti-interference Tracking Algorithm Based on Structural Random Jump System Theory
Xuchao Kang, Guangjun He, Feng Chen, Qifang He
Available Online June 2018.
- 10.2991/eame-18.2018.66How to use a DOI?
- maneuvering target tracking; random transition system; nonlinear filtering
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.
- © 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 -