By Topic

Target state estimation and prediction based standoff tracking of ground moving target using a fixed-wing UAV

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
$33 $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)
Lin Wang ; Inst. of Autom., Nat. Univ. of Defense Technol., Changsha, China ; Yuan Li ; Huayong Zhu ; Lincheng Shen

To the problem of standoff Ground Moving Target Tracking using a fixed-wing UAV, a novel solving framework is presented, which based on target state estimation, prediction and on-line motion planning. First of all, a solving framework was presented, the formal representation and system model of standoff tracking using Fixed-wing UAV was established; next, the Unscented Kalman Filter was suggested for the estimation and prediction of the target state; then, with a predicted target state, a modified motion planning algorithm was presented, which based on Lyapunov vector field. Simulation results demonstrated that the performance of standoff target tracking was improved with regards to the estimated and predicted target state.

Published in:

Control and Automation (ICCA), 2010 8th IEEE International Conference on

Date of Conference:

9-11 June 2010