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dc.contributor.authorKhalil, Ruhul Amin
dc.contributor.authorSaeed, Nasir
dc.contributor.authorJan, Tariqullah
dc.contributor.authorAshraf, Majid
dc.date.accessioned2019-03-27T06:14:44Z
dc.date.available2019-03-27T06:14:44Z
dc.date.issued2019-01-09
dc.identifier.citationKhalil RA, Saeed N, Jan T, Ashraf M (2018) Multiple Object Localization in Underwater Wireless Communication Systems using the Theory of Gravitation. 2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). Available: http://dx.doi.org/10.1109/M2VIP.2018.8600876.
dc.identifier.doi10.1109/M2VIP.2018.8600876
dc.identifier.urihttp://hdl.handle.net/10754/631729
dc.description.abstractLocalization of underwater objects has always been a challenging task due to the unguided and misty nature of the underwater environment. Therefore, in this paper, a novel algorithm has been proposed to find the correct location of various underwater objects in real-time underwater communication networks. The proposed algorithm is based on collective utilization of gravity field vector and gravity gradient tensor signals for object localization. It computes the localization of numerous underwater objects in a non-linear scenario by utilizing modified Levenberg-Marquardt algorithm. The study uses single-object localization scenario to carry out estimation of the initial coordinates and mass calculation of the underwater objects. In order to validate the proposed algorithm, two objects based artificial navigation model has been used for testing purpose. The results obtained were precise and accurate, hence, the proposed method is a good strategy to localize multiple underwater objects.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8600876
dc.rightsArchived with thanks to 2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)
dc.subjectgravity field vector
dc.subjectLevenberg-Marquardt
dc.subjectLocalization
dc.subjectUnderwater objects
dc.titleMultiple Object Localization in Underwater Wireless Communication Systems using the Theory of Gravitation
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journal2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)
dc.conference.date2018-11-20 to 2018-11-22
dc.conference.name25th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2018
dc.conference.locationStuttgart, DEU
dc.eprint.versionPost-print
dc.contributor.institutionDepartment of Electrical Engineering, University of Engineering and Technology Peshawar, , Pakistan
kaust.personSaeed, Nasir
refterms.dateFOA2019-03-27T06:16:13Z
dc.date.published-online2019-01-09
dc.date.published-print2018-11


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