Detection of the Number of Paths over WirelessChannels: A Maximum Likelihood Approach

dc.contributor.authorBen Amor, Souheib
dc.contributor.authorAffes, Sofiène
dc.contributor.authorGhrayeb, Ali
dc.date.accessioned2021-09-14T16:29:17Z
dc.date.available2021-09-14T16:29:17Z
dc.date.issued2019-03-10
dc.description.abstractIn this paper, we tackle the problem of Multipathdetection for joint angle and delay estimation (JADE) purposes.By exploiting the sparsity feature of a carefully designed pseudo-pdf, we propose a novel approach that enables the accurateestimation of the unknown number of paths over a wide rangeof practical signal-to-noise ratios (SNRs). Computer simulationsshow the distinct advantage of the new solution over state-of-the art techniques in terms of accuracy. Most remarkably, theysuggest that the proposed technique provide accurate estimateseven when the number of paths exceeds the antenna size.en_US
dc.identifier.urihttp://repo.sltc.ac.lk/handle/456/96
dc.language.isoenen_US
dc.publisherETIC conferenceen_US
dc.subjectsignal detectionen_US
dc.subjectmaximum likelihooden_US
dc.subjectimportance samplingen_US
dc.subjectantenna arraysen_US
dc.titleDetection of the Number of Paths over WirelessChannels: A Maximum Likelihood Approachen_US
dc.typeArticleen_US

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