Robust localization using geographic information in bistatic sonar

This article proposes a robust localization algorithm by improving the accuracy of the source position, receiver position, and sound speed using the known position of an object in the sea. The accuracy of those three types of information greatly influences the performance of the target localization...

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Main Authors: Kwang Hee Lee, Eui Cheol Jeong, Seongil Kim, Dong Seog Han
Format: Article
Language:English
Published: SAGE Publishing 2017-06-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147717714172
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spelling doaj-9c34c998f7114d97bc74d18af04c20802020-11-25T02:59:00ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772017-06-011310.1177/1550147717714172Robust localization using geographic information in bistatic sonarKwang Hee Lee0Eui Cheol Jeong1Seongil Kim2Dong Seog Han3Firstec, Changwon, KoreaAgency for Defense Development, Jinhae, KoreaAgency for Defense Development, Jinhae, KoreaSchool of Electronics Engineering, Kyungpook National University, Daegu, KoreaThis article proposes a robust localization algorithm by improving the accuracy of the source position, receiver position, and sound speed using the known position of an object in the sea. The accuracy of those three types of information greatly influences the performance of the target localization in bistatic sonar. Although the locations of the source and receiver can be obtained using the global positioning system, there are still some position errors due to the limitations of global positioning system–based positioning systems and tidal current. In addition, the speed of the sound in the sea changes with temperature. The target estimation error was analyzed mathematically in terms of the mentioned errors. An improved localization is proposed using the accurate positions of objects in the sea, which can compensate for the errors in the source position, receiver position, and sound speed. The proposed algorithm is compared with the conventional algorithm through computer simulations.https://doi.org/10.1177/1550147717714172
collection DOAJ
language English
format Article
sources DOAJ
author Kwang Hee Lee
Eui Cheol Jeong
Seongil Kim
Dong Seog Han
spellingShingle Kwang Hee Lee
Eui Cheol Jeong
Seongil Kim
Dong Seog Han
Robust localization using geographic information in bistatic sonar
International Journal of Distributed Sensor Networks
author_facet Kwang Hee Lee
Eui Cheol Jeong
Seongil Kim
Dong Seog Han
author_sort Kwang Hee Lee
title Robust localization using geographic information in bistatic sonar
title_short Robust localization using geographic information in bistatic sonar
title_full Robust localization using geographic information in bistatic sonar
title_fullStr Robust localization using geographic information in bistatic sonar
title_full_unstemmed Robust localization using geographic information in bistatic sonar
title_sort robust localization using geographic information in bistatic sonar
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2017-06-01
description This article proposes a robust localization algorithm by improving the accuracy of the source position, receiver position, and sound speed using the known position of an object in the sea. The accuracy of those three types of information greatly influences the performance of the target localization in bistatic sonar. Although the locations of the source and receiver can be obtained using the global positioning system, there are still some position errors due to the limitations of global positioning system–based positioning systems and tidal current. In addition, the speed of the sound in the sea changes with temperature. The target estimation error was analyzed mathematically in terms of the mentioned errors. An improved localization is proposed using the accurate positions of objects in the sea, which can compensate for the errors in the source position, receiver position, and sound speed. The proposed algorithm is compared with the conventional algorithm through computer simulations.
url https://doi.org/10.1177/1550147717714172
work_keys_str_mv AT kwangheelee robustlocalizationusinggeographicinformationinbistaticsonar
AT euicheoljeong robustlocalizationusinggeographicinformationinbistaticsonar
AT seongilkim robustlocalizationusinggeographicinformationinbistaticsonar
AT dongseoghan robustlocalizationusinggeographicinformationinbistaticsonar
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