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dc.contributor.authorSaeed, Nasir
dc.contributor.authorCelik, Abdulkadir
dc.contributor.authorAlouini, Mohamed-Slim
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.date.accessioned2020-10-06T05:04:59Z
dc.date.available2020-01-15T07:26:45Z
dc.date.available2020-10-06T05:04:59Z
dc.date.issued2020-09-18
dc.date.submitted2019-08-27
dc.identifier.citationSaeed, N., Celik, A., Alouini, M.-S., & Al-Naffouri, T. Y. (2020). Analysis of 3D localization in underwater optical wireless networks with uncertain anchor positions. Science China Information Sciences, 63(10). doi:10.1007/s11432-019-2758-2
dc.identifier.issn1869-1919
dc.identifier.issn1674-733X
dc.identifier.doi10.1007/s11432-019-2758-2
dc.identifier.urihttp://hdl.handle.net/10754/661045
dc.description.abstractLocalization accuracy is of paramount importance for the proper operation of underwater optical wireless sensor networks (UOWSNs). However, underwater localization is prone to hostile environmental impediments such as drifts owing to the surface and deep currents. These cause uncertainty in the deployed anchor node positions and pose daunting challenges to achieve accurate location estimations. Therefore, this paper analyzes the performance of three-dimensional (3D) localization for UOWSNs and derives a closed-form expression for the Cramer Rao lower bound (CRLB) by using time of arrival (ToA) and angle of arrival (AoA) measurements under the presence of uncertainty in anchor node positions. Numerical results validate the analytical findings by comparing the localization accuracy in scenarios with and without anchor nodes position uncertainty. Results are also compared with the linear least square (LLS) method and weighted LLS (WLLS) method.
dc.publisherSpringer Nature
dc.relation.urlhttp://link.springer.com/10.1007/s11432-019-2758-2
dc.rightsArchived with thanks to Science China Information Sciences
dc.titleAnalysis of 3D localization in underwater optical wireless networks with uncertain anchor positions
dc.typeArticle
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer, Electrical, Mathematical Sciences & Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalScience China Information Sciences
dc.rights.embargodate2021-09-30
dc.eprint.versionPost-print
dc.identifier.volume63
dc.identifier.issue10
dc.identifier.arxivid1912.10734
kaust.personSaeed, Nasir
kaust.personCelik, Abdulkadir
kaust.personAlouini, Mohamed-Slim
kaust.personAl-Naffouri, Tareq Y.
dc.date.accepted2020-01-10
dc.identifier.eid2-s2.0-85091721517
refterms.dateFOA2020-01-15T07:27:03Z
dc.date.published-online2020-09-18
dc.date.published-print2020-10
dc.date.posted2019-12-23


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