Tracking issues of some blind equalization algorithms

dc.contributor.authorSilva M.T.M.
dc.contributor.authorMiranda M.D.
dc.date.accessioned2024-03-13T01:44:54Z
dc.date.available2024-03-13T01:44:54Z
dc.date.issued2004
dc.description.abstractDue to the growing demand for mobile communications, blind adaptive algorithms have an important role in improving data transmission efficiency. In this context, the convergence and tracking analysis of such algorithms is a problem of interest. Recently, a tracking analysis of the Constant Modulus Algorithm was presented based on an energy conservation relation. In this letter we extend that analysis to blind quasi-Newton algorithms that minimize the Constant Modulus cost function. Under certain conditions, the considered algorithms can reach the same steady-state mean-square error. Close agreement between analytical and simulation results is shown. © 2004 IEEE.
dc.description.firstpage760
dc.description.issuenumber9
dc.description.lastpage763
dc.description.volume11
dc.identifier.doi10.1109/LSP.2004.833517
dc.identifier.issn1070-9908
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/37923
dc.relation.ispartofIEEE Signal Processing Letters
dc.rightsAcesso Restrito
dc.titleTracking issues of some blind equalization algorithms
dc.typeArtigo
local.scopus.citations24
local.scopus.eid2-s2.0-4444380409
local.scopus.subjectBlind adaptive algorithms
local.scopus.subjectBlind equalization algorithms
local.scopus.subjectConstant modulus algorithm
local.scopus.subjectSteady state analysis
local.scopus.subjectTracking analysis
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=4444380409&origin=inward
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