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Improved Artificial Bee Colony Algorithm Based Gravity Matching Navigation Method
Gravity matching navigation algorithm is one of the key technologies for gravity aided inertial navigation systems. With the development of intelligent algorithms, the powerful search ability of the Artificial Bee Colony (ABC) algorithm makes it possible to be applied to the gravity matching navigat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168447/ https://www.ncbi.nlm.nih.gov/pubmed/25046019 http://dx.doi.org/10.3390/s140712968 |
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author | Gao, Wei Zhao, Bo Zhou, Guang Tao Wang, Qiu Ying Yu, Chun Yang |
author_facet | Gao, Wei Zhao, Bo Zhou, Guang Tao Wang, Qiu Ying Yu, Chun Yang |
author_sort | Gao, Wei |
collection | PubMed |
description | Gravity matching navigation algorithm is one of the key technologies for gravity aided inertial navigation systems. With the development of intelligent algorithms, the powerful search ability of the Artificial Bee Colony (ABC) algorithm makes it possible to be applied to the gravity matching navigation field. However, existing search mechanisms of basic ABC algorithms cannot meet the need for high accuracy in gravity aided navigation. Firstly, proper modifications are proposed to improve the performance of the basic ABC algorithm. Secondly, a new search mechanism is presented in this paper which is based on an improved ABC algorithm using external speed information. At last, modified Hausdorff distance is introduced to screen the possible matching results. Both simulations and ocean experiments verify the feasibility of the method, and results show that the matching rate of the method is high enough to obtain a precise matching position. |
format | Online Article Text |
id | pubmed-4168447 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-41684472014-09-19 Improved Artificial Bee Colony Algorithm Based Gravity Matching Navigation Method Gao, Wei Zhao, Bo Zhou, Guang Tao Wang, Qiu Ying Yu, Chun Yang Sensors (Basel) Article Gravity matching navigation algorithm is one of the key technologies for gravity aided inertial navigation systems. With the development of intelligent algorithms, the powerful search ability of the Artificial Bee Colony (ABC) algorithm makes it possible to be applied to the gravity matching navigation field. However, existing search mechanisms of basic ABC algorithms cannot meet the need for high accuracy in gravity aided navigation. Firstly, proper modifications are proposed to improve the performance of the basic ABC algorithm. Secondly, a new search mechanism is presented in this paper which is based on an improved ABC algorithm using external speed information. At last, modified Hausdorff distance is introduced to screen the possible matching results. Both simulations and ocean experiments verify the feasibility of the method, and results show that the matching rate of the method is high enough to obtain a precise matching position. MDPI 2014-07-18 /pmc/articles/PMC4168447/ /pubmed/25046019 http://dx.doi.org/10.3390/s140712968 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Gao, Wei Zhao, Bo Zhou, Guang Tao Wang, Qiu Ying Yu, Chun Yang Improved Artificial Bee Colony Algorithm Based Gravity Matching Navigation Method |
title | Improved Artificial Bee Colony Algorithm Based Gravity Matching Navigation Method |
title_full | Improved Artificial Bee Colony Algorithm Based Gravity Matching Navigation Method |
title_fullStr | Improved Artificial Bee Colony Algorithm Based Gravity Matching Navigation Method |
title_full_unstemmed | Improved Artificial Bee Colony Algorithm Based Gravity Matching Navigation Method |
title_short | Improved Artificial Bee Colony Algorithm Based Gravity Matching Navigation Method |
title_sort | improved artificial bee colony algorithm based gravity matching navigation method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168447/ https://www.ncbi.nlm.nih.gov/pubmed/25046019 http://dx.doi.org/10.3390/s140712968 |
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