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Principal Components Tracking Algorithms for Synchronization and Channel Identification in UWB systems

Zhang, Jian (Andrew); Kennedy, Rodney; Abhayapala, Thushara

Description

In this paper, we investigate the reduced rank shift invariant techniques in the application of synchronization and channel identification of UWB signals. The proposed reduced rank techniques can track the principal components automatically and reduce the computational complexity significantly by transforming the generalized eigen-problem in an original high dimensional space to a lower dimensional space depending on the number of desired principal signals. Technical details in the application,...[Show more]

dc.contributor.authorZhang, Jian (Andrew)
dc.contributor.authorKennedy, Rodney
dc.contributor.authorAbhayapala, Thushara
dc.coverage.spatialSydney Australia
dc.date.accessioned2015-12-13T22:38:25Z
dc.date.createdAugust 30 - September 2 2004
dc.identifier.isbn0780384083
dc.identifier.urihttp://hdl.handle.net/1885/77544
dc.description.abstractIn this paper, we investigate the reduced rank shift invariant techniques in the application of synchronization and channel identification of UWB signals. The proposed reduced rank techniques can track the principal components automatically and reduce the computational complexity significantly by transforming the generalized eigen-problem in an original high dimensional space to a lower dimensional space depending on the number of desired principal signals. Technical details in the application, including the operations of sampling, fast Fourier transform (FFT) and the capture of synchronization delay, are given. Experiments show the performance is only slightly inferior to the general full rank algorithms.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesInternational Symposium on Spread Spectrum Techniques and Applications (ISSSTA 2004)
dc.sourceProceedings of the 2004 IEEE International Symposium on Spread Spectrum Techniques and Applications (ISSSTA)
dc.source.urihttp://www.isssta2004.org/
dc.subjectKeywords: Algorithms; Channel capacity; Computational complexity; Fourier transforms; Principal component analysis; Channel identification; Rank shift identification; Synchronization Channel estimation; Shift invariant techniques; Synchronization; UWB
dc.titlePrincipal Components Tracking Algorithms for Synchronization and Channel Identification in UWB systems
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2004
local.identifier.absfor090609 - Signal Processing
local.identifier.ariespublicationMigratedxPub6387
local.type.statusPublished Version
local.contributor.affiliationZhang, Jian (Andrew), College of Engineering and Computer Science, ANU
local.contributor.affiliationAbhayapala, Thushara, College of Engineering and Computer Science, ANU
local.contributor.affiliationKennedy, Rodney, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage369
local.bibliographicCitation.lastpage373
dc.date.updated2015-12-11T09:43:41Z
local.identifier.scopusID2-s2.0-26944436289
CollectionsANU Research Publications

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