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dc.contributor.supervisor Noghanian, Sima (Electrical and Computer Engineering) Willink, Tricia (Electrical & Computer Engineering) en
dc.contributor.author Gurrieri, Luis
dc.date.accessioned 2010-10-29T15:53:50Z
dc.date.available 2010-10-29T15:53:50Z
dc.date.issued 2010-10-29T15:53:50Z
dc.identifier.uri http://hdl.handle.net/1993/4289
dc.description.abstract The continuous advancement in wireless communications technology demands new approaches to improving the capacity of existing radio links. The high data throughput required can be achieved by the complete utilization of space, time and polarization diversities inherent in any propagation environment. Among the different propagation scenarios, the indoor channels represent a particularly challenging problem given the number and complexity of interactions between the transmitted signal and the environment. This dissertation explores the interrelation between propagation physics and space-time-polarization diversity based on a novel high resolution channel sounding and reconstruction technique. First, a method to reconstruct the indoor complex channel response based on a limited set of samples and the elimination of the interference using deconvolution techniques is presented. Then, the results for the joint angle-of-arrival, delay characterization and depolarization of electromagnetic waves are presented. Finally, a novel approach to using depolarized multipath signals to boost the receiver signal-to-noise performance is presented. The current study shows that full utilization of the diversities of channel novel wireless systems can be proposed with significant improvement in capacity. en
dc.format.extent 3673510 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.rights info:eu-repo/semantics/openAccess
dc.subject cross-polarization en
dc.subject indoor propagation en
dc.subject multipath en
dc.subject channel sounding en
dc.subject wireless patch antenna en
dc.subject wide-band en
dc.subject angle-of-arrival en
dc.subject angle-of-departure en
dc.subject deconvolution en
dc.subject spatio-temporal en
dc.subject deblurring en
dc.subject polarization diversity en
dc.subject channel capacity improvements en
dc.subject data bandwith en
dc.title Spatiotemporal characterization of indoor wireless channels en
dc.type info:eu-repo/semantics/masterThesis
dc.degree.discipline Electrical and Computer Engineering en
dc.contributor.examiningcommittee Yahampath, Pradeepa (Electrical and Computer Engineering) Liu, Yanni Ellen (Computer Science) en
dc.degree.level Master of Science (M.Sc.) en
dc.description.note October 2006 en


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