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UWB Spatial-Frequency Channel Characterization

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dc.contributor.authorZhang, Wen
dc.contributor.authorZhang, Jian (Andrew)
dc.contributor.authorAbhayapala, Thushara
dc.coverage.spatialMelbourne Australia
dc.date.accessioned2015-12-07T22:52:20Z
dc.date.createdMay 7-10 2006
dc.date.issued2006
dc.date.updated2015-12-07T12:28:32Z
dc.description.abstractThis paper investigates the spatial-frequency channel characterization of Ultra-wideband (UWB) wireless communication systems. Firstly, a novel frequency dependent UWB channel model is constructed based on the theory of electromagnetic diffraction mechanism, which causes the field strength to vary with the frequency in each multipath. Secondly, we build a space-frequency model, which includes spatial characteristics such as angular power spectrum, and physical sampling points in space. The space-frequency model has two special cases (i) discrete multipath model, and (ii) cluster model, which can be readily used to generate channel data for any arbitrary set of sensor locations. The reconstruction results from channel measurements show the accurateness of the novel frequency dependent model, with reconstruction error decreasing by 40%, compared to the traditional Turin model.
dc.identifier.isbn1780393929
dc.identifier.urihttp://hdl.handle.net/1885/27398
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesIEEE Vehicular Technology Conference 2006
dc.sourceProceedings of the Vehicular Technology Conference 2006
dc.subjectKeywords: Channel measurements; Cluster models; Sampling points; Spatial characteristics; Channel capacity; Electromagnetic wave diffraction; Measurement errors; Natural frequencies; Spectrum analysis; Wireless telecommunication systems Frequency dependency; Geometrical theory of diffraction (GTD); Spatial-frequency channel modelling; Ultra-wideband
dc.titleUWB Spatial-Frequency Channel Characterization
dc.typeConference paper
local.bibliographicCitation.lastpage2736
local.bibliographicCitation.startpage2732
local.contributor.affiliationZhang, Wen, College of Engineering and Computer Science, ANU
local.contributor.affiliationAbhayapala, Thushara, College of Engineering and Computer Science, ANU
local.contributor.affiliationZhang, Jian (Andrew), College of Engineering and Computer Science, ANU
local.contributor.authoruidZhang, Wen, u2580478
local.contributor.authoruidAbhayapala, Thushara, u9701943
local.contributor.authoruidZhang, Jian (Andrew), u3330519
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor090609 - Signal Processing
local.identifier.ariespublicationu3357961xPUB51
local.identifier.scopusID2-s2.0-34047133215
local.type.statusPublished Version

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