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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2017-06-01
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1177/1550147717714172 |
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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 |
_version_ |
1724704195385229312 |