By Topic

Multiple Moving Platforms and Multi-sensor Maneuvering Target Tracking Based on Fuzzy Adaptive UKF

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Ge Xu-gang ; Dept. of Inf. & Command Automatization, Force Radar Acad., Wuhan ; Jiang Jing ; Ma Xiaoyan ; Sun Hong

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.

Published in:

Computational Engineering in Systems Applications, IMACS Multiconference on  (Volume:2 )

Date of Conference:

4-6 Oct. 2006