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A Target Tracking Method Based on the Self-organizing Fuzzy Extended Kalman Filter for UAV


Paper Type 
Contributed Paper
Title 
A Target Tracking Method Based on the Self-organizing Fuzzy Extended Kalman Filter for UAV
Author 
Zhiyong LIU, Yong ZHAO, Ying JIN and Yulu Wang
Email 
waljxzy@163.com
Abstract:

     This paper proposed a novel approach based on integrated tracking and positioning for Unmanned Aerial Vehicle (UAV) systems. In the proposed scheme, a self-organizing fuzzy Extended Kalman Filter (EKF) system was studied to track the flight trajectory of an UAV. With this goal, the control model of the UAV system with the disturbances was established based on the dynamic equation firstly. Secondly, the self-organizing Fuzzy EKF system was designed to identify and estimate the errors of the UAV position adaptively. And then, the trajectory tracking control was determined for the UAV according to the obtained errors. Finally, the proposed strategy was applied to a UAV to demonstrate the effectiveness.

Article ID
e2024073
Received Date 
2023-11-21
Revised Date 
2024-04-29
Accepted Date 
2024-06-25
Full Text 
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Keyword 
self-organizing fuzzy system, extended Kalman filter(EKF), unmanned aerial vehicle (UAV), tracking and positioning
Volume 
Vol.51 No.5 (September 2024)
DOI 
https://doi.org/10.12982/CMJS.2024.073
Citation 
Liu Z., Zhao Y., Jin Y. and Wang Y., A Target Tracking Method Based on the Self-organizing Fuzzy Extended Kalman Filter for UAV, Chiang Mai J. Sci., 2024; 51(5): e2024073. DOI 10.12982/CMJS.2024.073.
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Chiang Mai Journal of Science

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