Moving target trajectory estimation using Kalman, curve fitting and Anfis methods

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Published: Nov 25, 2015
Updated: 2015-11-25
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2015-11-25 (1)
DOI: https://doi.org/10.18844/gjit.v0i0.111

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Timur İnan
Instructor at Istanbul Arel University, Kucukcekmece, Istanbul 34295, Turkey.

Abstract

Estimation of the possible position of the moving targets after a few steps has great significance especially in terms of defense industry. If a shoot aiming at the target is planned, the issue of estimation of forward position of the target gains importance in terms of accurate strike of the bullet at the target. In target tracking, impact of three different methods as motion estimation method on various motion types has been examined in our study. Motion types have been examined in four different types, which are rectilinear motion, circular motion, sinusoidal motion and curvilinear motion.  On the other hand, estimation methods have been examined under three different titles. These are Kalman estimation method, curve fitting method and Anfis method. Different motion types have been examined with different estimation methods and the results obtained have been presented. 

Keywords: robotics, image processing, trajectory tracking, target tracking, estimation, Anfis, Kalman, curve fitting.

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How to Cite
İnan, T. (2015). Moving target trajectory estimation using Kalman, curve fitting and Anfis methods. Global Journal of Information Technology: Emerging Technologies, 5(1), 25–40. https://doi.org/10.18844/gjit.v0i0.111
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Vol. 5 No. 1 (2015): April
Section
Articles
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