FEKF Estimation for Mobile Robot Localization and Mapping Considering Noise Divergence

This paper proposed an approach of Fuzzy-Extended Kalman Filter(FEKF) for mobile robot localization and mapping under unknown noise characteristics. The technique apply the information extracted from EKF measurement innovation to derive the best estimation output for a mobile robot during its observ...

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Main Authors: Hamzah, Ahmad, Nur Aqilah, Othman, Saifudin, Razali, Mohd Razali, Daud
Format: Conference or Workshop Item
Language:English
English
Published: 2016
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/11195/1/FEKF%20Estimation%20for%20Mobile%20Robot%20Localization%20and%20Mapping%20Considering%20Noise%20Divergence.pdf
http://umpir.ump.edu.my/id/eprint/11195/7/fkee-2015-Hamzah-FEKF%20Estimation%20for%20Mobile.pdf
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author Hamzah, Ahmad
Nur Aqilah, Othman
Saifudin, Razali
Mohd Razali, Daud
author_facet Hamzah, Ahmad
Nur Aqilah, Othman
Saifudin, Razali
Mohd Razali, Daud
author_sort Hamzah, Ahmad
collection UMP
description This paper proposed an approach of Fuzzy-Extended Kalman Filter(FEKF) for mobile robot localization and mapping under unknown noise characteristics. The technique apply the information extracted from EKF measurement innovation to derive the best estimation output for a mobile robot during its observations. These information is then fuzzified using Fuzzy Logic technique with very few design rules to control the information which at the end further reducing the error about the measurement and consequently provide better localization and mapping. Simulation results are also presented to describe the efficiency of the proposed method in comparison with the normal EKF estimation that emphasize FEKF exceeds the estimation results of normal EKF in non-Gaussian noise environment.
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spelling UMPir111952018-09-05T04:32:24Z http://umpir.ump.edu.my/id/eprint/11195/ FEKF Estimation for Mobile Robot Localization and Mapping Considering Noise Divergence Hamzah, Ahmad Nur Aqilah, Othman Saifudin, Razali Mohd Razali, Daud TK Electrical engineering. Electronics Nuclear engineering This paper proposed an approach of Fuzzy-Extended Kalman Filter(FEKF) for mobile robot localization and mapping under unknown noise characteristics. The technique apply the information extracted from EKF measurement innovation to derive the best estimation output for a mobile robot during its observations. These information is then fuzzified using Fuzzy Logic technique with very few design rules to control the information which at the end further reducing the error about the measurement and consequently provide better localization and mapping. Simulation results are also presented to describe the efficiency of the proposed method in comparison with the normal EKF estimation that emphasize FEKF exceeds the estimation results of normal EKF in non-Gaussian noise environment. 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11195/1/FEKF%20Estimation%20for%20Mobile%20Robot%20Localization%20and%20Mapping%20Considering%20Noise%20Divergence.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/11195/7/fkee-2015-Hamzah-FEKF%20Estimation%20for%20Mobile.pdf Hamzah, Ahmad and Nur Aqilah, Othman and Saifudin, Razali and Mohd Razali, Daud (2016) FEKF Estimation for Mobile Robot Localization and Mapping Considering Noise Divergence. In: Malaysian Technical Universities Conference on Engineering and Technology (MUCET) 2015 , 11-13 October 2015 , Johor Bahru, Johor, Malaysia. . (Published)
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Hamzah, Ahmad
Nur Aqilah, Othman
Saifudin, Razali
Mohd Razali, Daud
FEKF Estimation for Mobile Robot Localization and Mapping Considering Noise Divergence
title FEKF Estimation for Mobile Robot Localization and Mapping Considering Noise Divergence
title_full FEKF Estimation for Mobile Robot Localization and Mapping Considering Noise Divergence
title_fullStr FEKF Estimation for Mobile Robot Localization and Mapping Considering Noise Divergence
title_full_unstemmed FEKF Estimation for Mobile Robot Localization and Mapping Considering Noise Divergence
title_short FEKF Estimation for Mobile Robot Localization and Mapping Considering Noise Divergence
title_sort fekf estimation for mobile robot localization and mapping considering noise divergence
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/11195/1/FEKF%20Estimation%20for%20Mobile%20Robot%20Localization%20and%20Mapping%20Considering%20Noise%20Divergence.pdf
http://umpir.ump.edu.my/id/eprint/11195/7/fkee-2015-Hamzah-FEKF%20Estimation%20for%20Mobile.pdf
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