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dc.contributor.authorBaşaran, Mehmet
dc.contributor.authorErküçük, Serhat
dc.contributor.authorCirpan, Hakan Ali
dc.date.accessioned2019-06-27T08:02:45Z
dc.date.available2019-06-27T08:02:45Z
dc.date.issued2014
dc.identifier.issn1074-5351
dc.identifier.issn1099-1131
dc.identifier.urihttps://hdl.handle.net/20.500.12469/679
dc.identifier.urihttps://doi.org/10.1002/dac.2548
dc.description.abstractDue to the sparse structure of ultra-wideband (UWB) multipath channels there has been a considerable amount of interest in applying the compressive sensing (CS) theory to UWB channel estimation. The main consideration of the related studies is to propose different implementations of the CS theory for the estimation of UWB channels which are assumed to be sparse. In this study we investigate the suitability of standardized UWB channel models to be used with the CS theory. In other words we question the sparsity assumption of realistic UWB multipath channels. For that we particularly investigate the effects of IEEE 802.15.4a UWB channel models and the selection of channel resolution both on channel estimation and system performances from a practical implementation point of view. In addition we compare the channel estimation performance with the Cramer-Rao lower bound for various channel models and number of measurements. The study shows that although UWB channel models for residential environments (e.g. channel models CM1 and CM2) exhibit a sparse structure yielding a reasonable channel estimation performance channel models for industrial environments (e.g. CM8) may not be treated as having a sparse structure due to multipaths arriving densely. Furthermore it is shown that the sparsity increased by channel resolution can improve the channel estimation performance significantly at the expense of increased receiver processing. Copyright (c) 2013 John Wiley & Sons Ltd.
dc.language.isoEnglish
dc.publisherWiley-Blackwell
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCompressive Sensing (CS)
dc.subjectUltra-wideband (UWB) channel estimation
dc.subjectIEEE 802
dc.subject15
dc.subject4a channel models
dc.subjectChannel resolution
dc.titleCompressive sensing for ultra-wideband channel estimation: on the sparsity assumption of ultra-wideband channels
dc.typeArticle
dc.identifier.startpage3383
dc.identifier.endpage3398
dc.relation.journalInternational Journal of Communication Systems
dc.identifier.issue11
dc.identifier.volume27
dc.identifier.wosWOS:000345306300059
dc.identifier.doi10.1002/dac.2548
dc.contributor.khasauthorErküçük, Serhat


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