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Adaptive Algorithms Performance Analysis for Adaptive Multiuser Detection over Time Varying Communications Channels

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dc.contributor.authorKrusevac, Zarko
dc.contributor.authorRapajic, Predrag
dc.contributor.authorKennedy, Rodney
dc.coverage.spatialBrisbane Australia
dc.date.accessioned2015-12-13T22:52:16Z
dc.date.createdFebruary 2 2005
dc.date.issued2005
dc.date.updated2015-12-11T10:50:09Z
dc.description.abstractThis paper analyzes the theoretical limits of the Least Mean Square (LMS) and Recursive Least Square (RLS) adaptive algorithms performance for the adaptive CDMA receivers in slowly time varying communication channels in the presence of multi-path. We show that since the RLS involves memory and does not explicitly recognize time varying nature of the channel (time varying "true" weights), it has worse tracking performance then the LMS adaptive algorithm. Thus, the implementation of the RLS algorithm for adaptive CDMA receivers operating in time varying channels is very limited. The LMS algorithm provides better tracking, but still speed of channel change must be slow. In addition, we present simulation results which confirm the theoretical analysis.
dc.identifier.isbn0958034575
dc.identifier.urihttp://hdl.handle.net/1885/81489
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesAustralian Communications Theory Workshop (AusCTW 2005)
dc.sourceProceedings of the 6th Australian Communications Theory Workshop 2005
dc.source.urihttp://www.itee.uq.edu.au/~ausctw05/
dc.subjectKeywords: Adaptive algorithms; Code division multiple access; Communication channels (information theory); Computer simulation; Least squares approximations; Time varying systems; Adaptive minimum mean square error (MMSE) receivers; Least mean squares (LMS); Recurs Adaptive Kalman filter; Adaptive minimum mean square error (MMSE) receiver; Least mean square (LMS) and recursive least square (RLS) adaptive algorithms; Tracking ability
dc.titleAdaptive Algorithms Performance Analysis for Adaptive Multiuser Detection over Time Varying Communications Channels
dc.typeConference paper
local.bibliographicCitation.lastpage208
local.bibliographicCitation.startpage202
local.contributor.affiliationKrusevac, Zarko, University of New South Wales
local.contributor.affiliationRapajic, Predrag, University of New South Wales
local.contributor.affiliationKennedy, Rodney, College of Engineering and Computer Science, ANU
local.contributor.authoruidKennedy, Rodney, u8607590
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor100599 - Communications Technologies not elsewhere classified
local.identifier.ariespublicationMigratedxPub9773
local.identifier.doi10.1109/AUSCTW.2005.1624252
local.identifier.scopusID2-s2.0-33947126625
local.type.statusPublished Version

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