By Topic

Interacting fuzzy multimodel intelligent tracking system for swift target manoeuvres

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

3 Author(s)
Gokkus, L. ; Dept. of Aeronaut. Eng., Middle East Tech. Univ., Ankara, Turkey ; Erkmen, A.M. ; Tekinalp, O.

The objective of the paper is to generate the necessary subsystems for the intelligent guidance of an airborne vehicle locking onto a swift target. This paper focuses on the generation of an intelligent tracker module equipped with a wavelet based neural network that learns predictions from past experience. The perception of actual target manoeuvre and prediction of its future states are achieved in this work by “projecting” actual observations into decision spaces of local fuzzy predictions based on independent prototypical trajectory types: linear, parabolic and square root type trajectory. Decentralized tracking decisions are thus generated which are further evaluated by learning prediction module and are fused before being sent to the guidance module. The tracker is tested for 3 dimensional target tracking problem

Published in:

Intelligent Robots and Systems, 1997. IROS '97., Proceedings of the 1997 IEEE/RSJ International Conference on  (Volume:2 )

Date of Conference:

7-11 Sep 1997