Utilize este identificador para referenciar este registo: http://hdl.handle.net/11144/3631
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dc.contributor.authorDinis, Rui-
dc.contributor.authorBeko, Marko-
dc.contributor.authorTomic, Slavisa-
dc.contributor.authorTuba, Milan-
dc.contributor.authorBacanin, Nebojsa-
dc.date.accessioned2018-04-11T12:13:29Z-
dc.date.available2018-04-11T12:13:29Z-
dc.date.issued2017-
dc.identifier.isbn9788793519886-
dc.identifier.urihttp://hdl.handle.net/11144/3631-
dc.description.abstractThe desire for precise knowledge about the location of a moving object at any time instant has motivated a great deal of scientific research recently. This is owing to a steady expansion of the range of enabling devices and technologies, as well as the need for seamless solutions for location-based services. Besides localization accuracy, a common requirement for emerging solutions is that they are cost-abstemious, both in terms of the financial and computational cost. Hence, development of localization strategies from already deployed technologies, e.g., from different terrestrial radio frequency sources is of great practical interest. Amongst other, these include localization strategies based on received signal strength (RSS), time of arrival, angle of arrival (AoA) or a combination of them.por
dc.language.isoengpor
dc.publisherRiver Publisherspor
dc.rightsopenAccesspor
dc.subjectTarget localizationpor
dc.subjectTarget trackingpor
dc.subjectReceived signal strength (RSS)por
dc.subjectAngle of arrival (AoA)por
dc.subjectMaximum likelihood (ML) estimationpor
dc.subjectSecond-order cone programming (SOCP) problempor
dc.subjectSemidefinite programming (SDP) problempor
dc.subjectGeneralized trust region sub-problem (GTRS)por
dc.subjectMaximum a posteriori (MAP) estimatorpor
dc.subjectKalman filter (KF)por
dc.titleRSS-AoA-based Target Localization and Tracking in Wireless Sensor Networkspor
dc.typebookpor
dc.relation.publisherversionhttp://www.riverpublishers.com/book_details.php?book_id=440por
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