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Adaptive Algorithms for target tracking

Auteurs : DRIS Lyamine, BERKANI Daoud, DRAI Redouane, BENAMMAR Abdessalem
Année : 2015
Domaine : Electronique
Type : Communication
Conférence: The International Conference on Telecommunications and ICT
Résumé en PDF : (résumé en pdf)
Fulltext en PDF : (.pdf)
Mots clés : stochastic filtering, Kalman filter, Extended Kalman Filter, Monte Carlo Method, Particle Filter, Target tracking.

Résumé :

The quality of the tracking is greatly enhanced by a robust motion estimation.The objective is to develop a target tracking algorithm of a moving object, especially motion estimation of these. To realize the estimate, we chose stochastic filtering techniques. He concern the Kalman filter in the linear Gaussian, and sequential Monte Carlo methods in the nonlinear. Representation of state is permanently adapted according on current observations, to best represent the system dynamics. A comparison of the results given by the extended Kalman filter and particle filter is realized into simulation of the nonlinear systems target tracking.