Title :
Multiple Moving Platforms and Multi-sensor Maneuvering Target Tracking Based on Fuzzy Adaptive UKF
Author :
Ge Xu-gang ; Jiang Jing ; Ma Xiaoyan ; Sun Hong
Author_Institution :
Department of Information and Command Automatization, Air Force Radar Academy, Wuhan, 430019 China. Phone: 8627-85965861, E-mail: gexugang1@163.com
Abstract :
This paper is concerned with maneuvering target tracking in multiple airborne moving platform and multi-sensor system with the Unscented Kalman Filter. Based on fuzzy inference system and current statistical model, we present a novel three dimension (3D) Fuzzy adaptive Unscented Kalman Filter (FUKF) algorithm. The algorithm improves the ability of comprehending target maneuvering by adjusting the system covariance. The Monte-Carlo simulation results prove its availability.
Keywords :
Acceleration; Equations; Fuzzy systems; Inference algorithms; Military computing; Radar tracking; Sensor fusion; Symmetric matrices; Systems engineering and theory; Target tracking; Fuzzy Inference system; Maneuvering Target Tracking; Multi-sensor information fusion; Multiple Moving Platforms;
Conference_Titel :
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location :
Beijing, China
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
DOI :
10.1109/CESA.2006.313645
