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dc.contributor.authorBni Lam, Noori
dc.contributor.authorErgeerts, Glenn
dc.contributor.authorSubotic, Dragan
dc.contributor.authorSteckel, Jan
dc.contributor.authorWeyn, Maarten
dc.date.accessioned2021-10-24T03:01:38Z
dc.date.available2021-10-24T03:01:38Z
dc.date.issued2017
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/27867
dc.sourceIIOimport
dc.titleAdaptive probabilistic model using angle of arrival estimation for IoT indoor localization
dc.typeProceedings paper
dc.contributor.imecauthorBni Lam, Noori
dc.contributor.imecauthorErgeerts, Glenn
dc.contributor.imecauthorSubotic, Dragan
dc.contributor.imecauthorWeyn, Maarten
dc.contributor.orcidimecWeyn, Maarten::0000-0003-1152-6617
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage1
dc.source.endpage7
dc.source.conferenceInternational Conference on Indoor Positioning and Indoor Navigation - IPIN
dc.source.conferencedate18/09/2017
dc.source.conferencelocationSapporo Japan
dc.identifier.urlhttp://ieeexplore.ieee.org/document/8115864/
imec.availabilityPublished - open access


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