%0 Journal Article
	%A Mohammad Javad Mollakazemi and  Farhad Asadi and  Aref Ghafouri
	%D 2014
	%J International Journal of Mathematical and Computational Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 94, 2014
	%T The Evaluation of the Performance of Different Filtering Approaches in Tracking Problem and the Effect of Noise Variance
	%U https://publications.waset.org/pdf/10000461
	%V 94
	%X Performance of different filtering approaches depends
on modeling of dynamical system and algorithm structure. For
modeling and smoothing the data the evaluation of posterior
distribution in different filtering approach should be chosen carefully.
In this paper different filtering approaches like filter KALMAN,
EKF, UKF, EKS and smoother RTS is simulated in some trajectory
tracking of path and accuracy and limitation of these approaches are
explained. Then probability of model with different filters is
compered and finally the effect of the noise variance to estimation is
described with simulations results.

	%P 1369 - 1374