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Implicit and explicit receiver training in flat fading channels modeled as finite state Markov processes

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dc.contributor.authorSadeghi, Parastoo
dc.contributor.authorTrajkovic, Vladimir
dc.contributor.authorRapajic, Predrag
dc.coverage.spatialJapan
dc.date.accessioned2015-12-08T22:10:34Z
dc.date.createdJune 29-July 4 2003
dc.date.issued2003
dc.date.updated2015-12-08T07:33:31Z
dc.description.abstractWe study the effect of training method on the receiver bit error rate (BER) performance in constant envelope phase modulation schemes that are transmitted through flat fading channels. Here we propose a novel method for receiver training by sending information bits with unbalanced probabilities. We call this method implicit training and compare it with traditional (explicit) training scheme in which known periodic training sequences are sent to the receiver. The simulation results show superior performance of implicit training where the gain is 2 dB at information rate of 0.15 bits/channel use.
dc.identifier.isbn0780377281
dc.identifier.urihttp://hdl.handle.net/1885/29399
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesIEEE International Symposium on Information Theory (ISIT 2003)
dc.sourceProceedings 2003 IEEE International Symposium on Information Theory
dc.source.urihttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1228014
dc.subjectKeywords: Channel estimation; Finite state Markov processes; Flat fading channels; Receiver training; Bit error rate; Communication channels (information theory); Computer simulation; Convolutional codes; Fading (radio); Markov processes; Phase shift keying; Signal
dc.titleImplicit and explicit receiver training in flat fading channels modeled as finite state Markov processes
dc.typeConference paper
local.bibliographicCitation.startpage95
local.contributor.affiliationSadeghi, Parastoo, College of Engineering and Computer Science, ANU
local.contributor.affiliationTrajkovic, Vladimir, University of New South Wales
local.contributor.affiliationRapajic, Predrag, University of New South Wales
local.contributor.authoruidSadeghi, Parastoo, u4267276
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080400 - DATA FORMAT
local.identifier.ariespublicationu4010714xPUB65
local.identifier.doi10.1109/ISIT.2003.1228109
local.identifier.scopusID2-s2.0-0141904703
local.type.statusPublished Version

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