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Comparison of prediction methods for moving objects in 3D coordinates using Kalman Filter and Least Square | IEEE Conference Publication | IEEE Xplore

Comparison of prediction methods for moving objects in 3D coordinates using Kalman Filter and Least Square


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...Show More

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.
Date of Conference: 03-04 October 2016
Date Added to IEEE Xplore: 13 February 2017
ISBN Information:
Electronic ISSN: 2470-640X
Conference Location: Bandung, Indonesia

References

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