dc.contributor.authorAbeysekera, Saman S.
dc.date.accessioned2013-07-26T01:46:13Z
dc.date.available2013-07-26T01:46:13Z
dc.date.copyright2011en_US
dc.date.issued2011
dc.identifier.citationAbeysekera, S. S. (2012). Robust and efficient singular-value decomposition based algorithm for AUV localization and synchronization. 2012 Oceans - Yeosu.en_US
dc.identifier.urihttp://hdl.handle.net/10220/12332
dc.description.abstractThis 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.en_US
dc.language.isoenen_US
dc.rights© 2011 IEEE.en_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering
dc.titleRobust and efficient singular-value decomposition based algorithm for AUV localization and synchronizationen_US
dc.typeConference Paper
dc.contributor.conferenceOCEANS (2012 : Yeosu, Korea)en_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1109/OCEANS-Yeosu.2012.6263651


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