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A Review on Tuning of Extended Kalman Filter using Optimization Techniques for State Estimation

by Navreet Kaur, Amanpreet Kaur
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 145 - Number 15
Year of Publication: 2016
Authors: Navreet Kaur, Amanpreet Kaur
10.5120/ijca2016910177

Navreet Kaur, Amanpreet Kaur . A Review on Tuning of Extended Kalman Filter using Optimization Techniques for State Estimation. International Journal of Computer Applications. 145, 15 ( Jul 2016), 1-5. DOI=10.5120/ijca2016910177

@article{ 10.5120/ijca2016910177,
author = { Navreet Kaur, Amanpreet Kaur },
title = { A Review on Tuning of Extended Kalman Filter using Optimization Techniques for State Estimation },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 145 },
number = { 15 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume145/number15/25351-2016910177/ },
doi = { 10.5120/ijca2016910177 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:48:53.352142+05:30
%A Navreet Kaur
%A Amanpreet Kaur
%T A Review on Tuning of Extended Kalman Filter using Optimization Techniques for State Estimation
%J International Journal of Computer Applications
%@ 0975-8887
%V 145
%N 15
%P 1-5
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

State estimation is the common problem in every area of engineering. There are different filters used to overcome the problem of state estimation like Kalman filter, Particle filters etc. Kalman Filter is popular when the system is linear but when the system is highly non-linear then the different derivatives of Kalman Filter are used like Extended Kalman Filter (EKF), Unscented Kalman filter. But these estimation techniques require tuning of process and noise covariance matrices. The different optimization techniques are used to tune the filter parameters of EKF. In this paper, various optimization techniques have been studied for non-linear state estimation based on EKF.

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Index Terms

Computer Science
Information Sciences

Keywords

Gravitational Search Algorithm Extended Kalman Filter state estimation Tuning of EKF.

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