Robust and efficient singular-value decomposition based algorithm for AUV localization and synchronization
This paper proposes a novel singular-value decomposition based algorithm that can be used in source localization and time synchronization using the time of arrival and/or the time difference of arrival measurements. The algorithm performance has been investigated in an autonomous underwater vehicle...
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sg-ntu-dr.10356-847452020-03-07T13:24:45Z Robust and efficient singular-value decomposition based algorithm for AUV localization and synchronization Abeysekera, Saman S. School of Electrical and Electronic Engineering OCEANS (2012 : Yeosu, Korea) DRNTU::Engineering::Electrical and electronic engineering This paper proposes a novel singular-value decomposition based algorithm that can be used in source localization and time synchronization using the time of arrival and/or the time difference of arrival measurements. The algorithm performance has been investigated in an autonomous underwater vehicle operating environment. Through extensive simulations the superiority of the algorithm has been demonstrated over the existing methods. It is shown that the proposed algorithm is robust in terms of matrix ill-conditioning and efficient in terms of achieving the Cramer-Rao lower bound for parameter estimation. 2013-07-26T01:46:13Z 2019-12-06T15:50:40Z 2013-07-26T01:46:13Z 2019-12-06T15:50:40Z 2011 2011 Conference Paper Abeysekera, S. S. (2012). Robust and efficient singular-value decomposition based algorithm for AUV localization and synchronization. 2012 Oceans - Yeosu. https://hdl.handle.net/10356/84745 http://hdl.handle.net/10220/12332 10.1109/OCEANS-Yeosu.2012.6263651 en © 2011 IEEE. |
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DRNTU::Engineering::Electrical and electronic engineering Abeysekera, Saman S. Robust and efficient singular-value decomposition based algorithm for AUV localization and synchronization |
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This paper proposes a novel singular-value decomposition based algorithm that can be used in source localization and time synchronization using the time of arrival and/or the time difference of arrival measurements. The algorithm performance has been investigated in an autonomous underwater vehicle operating environment. Through extensive simulations the superiority of the algorithm has been demonstrated over the existing methods. It is shown that the proposed algorithm is robust in terms of matrix ill-conditioning and efficient in terms of achieving the Cramer-Rao lower bound for parameter estimation. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Abeysekera, Saman S. |
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Conference or Workshop Item |
author |
Abeysekera, Saman S. |
author_sort |
Abeysekera, Saman S. |
title |
Robust and efficient singular-value decomposition based algorithm for AUV localization and synchronization |
title_short |
Robust and efficient singular-value decomposition based algorithm for AUV localization and synchronization |
title_full |
Robust and efficient singular-value decomposition based algorithm for AUV localization and synchronization |
title_fullStr |
Robust and efficient singular-value decomposition based algorithm for AUV localization and synchronization |
title_full_unstemmed |
Robust and efficient singular-value decomposition based algorithm for AUV localization and synchronization |
title_sort |
robust and efficient singular-value decomposition based algorithm for auv localization and synchronization |
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2013 |
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https://hdl.handle.net/10356/84745 http://hdl.handle.net/10220/12332 |
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