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2016 International Conference on Frontiers of Information Technology (FIT) (2016)
Islamabad, Pakistan
Dec. 19, 2016 to Dec. 21, 2016
ISBN: 978-1-5090-5300-1
pp: 128-131
Yoga S. Satriawan , School of Electrical Engineering and Informatics, Bandung Institute of Technology, Jl Ganesha No.10, Bandung, Jawa Barat, Indonesia, 40132
Carmadi Machbub , School of Electrical Engineering and Informatics, Bandung Institute of Technology, Jl Ganesha No.10, Bandung, Jawa Barat, Indonesia, 40132
Egi M. I. Hidayat , School of Electrical Engineering and Informatics, Bandung Institute of Technology, Jl Ganesha No.10, Bandung, Jawa Barat, Indonesia, 40132
ABSTRACT
This paper proposed for comparison of two methods used to predict the trajectory of a moving object in 3D fields using Kalman Filter and Levenberg-Marquardt Least Squares. The Kalman Filter needs dynamic model of the object to predict trajectory, different from The Levenberg-Marquardt method requires previous movements of the object, and the system can determine the next move, to perform this experiment a simulation of the motion was created that an object moving in 3D fields using MATLAB, the movement is also added random noise using normal probability to give real effect, where in fact, there are noise sensors that affect the performance of a system. An experiment proposed to test the speed of each method achieving convergent, and the endurance of each method to receive noise.
INDEX TERMS
Normal Probability, Prediction, Kalman Filter, Trajectory, Levenberg-Marquardt
CITATION
Yoga S. Satriawan, Carmadi Machbub, Egi M. I. Hidayat, "Comparison of prediction methods for moving objects in 3D coordinates using Kalman Filter and least square", 2016 International Conference on Frontiers of Information Technology (FIT), vol. 00, no. , pp. 128-131, 2016, doi:10.1109/FIT.2016.7857551
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