Title : ( Discrete Extended Kalman Filter for the Localization of Noisy Discrete Nonlinear Stochastic State-Space System )
Authors: Hamed Keshmiri neghab , Naser Pariz ,
Full TextAbstract
This study presents a nonlinear observer design for noisy discrete Nonlinear Stochastic State-Space Systems using the Discrete Extended Kalman Filter to provide accurate Trajectory Tracking. This goes through using system’s Jacobian linearization along the current best estimate of its trajectory. The efficiency of Discrete Extended Kalman Filter is implemented on a Trajectory Tracking Problem with sufficiently sampling periods. Here, it is shown that changing principal diagonal of the Initial Estimation Error Covariance Matrix, the trajectory tracking is can be improved.
Keywords
discrete exended kalman filter; localization; stochastic; jacobian
@inproceedings{paperid:1075699,
author = {Keshmiri Neghab, Hamed and Pariz, Naser},
title = {Discrete Extended Kalman Filter for the Localization of Noisy Discrete Nonlinear Stochastic State-Space System},
booktitle = {2019 IEEE 4th Conference on Technology In Electrical and Computer Engineering (ETECH 2019) Information and Communication Technology},
year = {2019},
location = {تهران, IRAN},
keywords = {discrete exended kalman filter; localization; stochastic; jacobian},
}
%0 Conference Proceedings
%T Discrete Extended Kalman Filter for the Localization of Noisy Discrete Nonlinear Stochastic State-Space System
%A Keshmiri Neghab, Hamed
%A Pariz, Naser
%J 2019 IEEE 4th Conference on Technology In Electrical and Computer Engineering (ETECH 2019) Information and Communication Technology
%D 2019
