Blind channel estimation for space-time coding systems with Baum-Welch algorithm

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dc.authorid0000-0002-3591-6567
dc.authorid0000-0001-7328-6626
dc.contributor.authorÇırpan, Hakan Alien_US
dc.contributor.authorPanayırcı, Erdalen_US
dc.date.accessioned2019-08-31T12:10:23Z
dc.date.accessioned2019-08-05T16:05:07Z
dc.date.available2019-08-31T12:10:23Z
dc.date.available2019-08-05T16:05:07Z
dc.date.issued2002
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.description.abstractIn recent years, space-time coding is proposed to provide significant capacity gains over the traditional communication systems in fading wireless channels. In this paper, we consider the problem of blind estimation of the channel parameters along with space-time coded signals. Our proposed approach exploits the finite alphabet property of the space-time coded signals and is based on the unconditional signal model by treating the information sequence as stochastic I.I.D. sequences. The iterative Baum-Welch algorithm is then adapted to solve resulting unconditional ML optimization cost function. Finally, some simulation results are presented.en_US
dc.description.sponsorshipIEEE Commun Soc; ICC GLOBECOM; IEEE; AT&T Labs; Avaya Labs; Nippon Telegraph & Telephone; Nokia; Polytech Univ; Verizon Communen_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationÇırpan, H. A. & Panayırcı, E. (2002). Blind channel estimation for space-time coding systems with baum-welch algorithm. Paper presented at the , 3 1579-1583 vol.3. doi:10.1109/ICC.2002.997115en_US
dc.identifier.doi10.1109/ICC.2002.997115
dc.identifier.endpage1583
dc.identifier.isbn0780374002
dc.identifier.issn0536-1486
dc.identifier.scopus2-s2.0-0036279705
dc.identifier.scopusqualityN/A
dc.identifier.startpage1579
dc.identifier.urihttps://hdl.handle.net/11729/2062
dc.identifier.urihttps://dx.doi.org/10.1109/ICC.2002.997115
dc.identifier.volume3
dc.identifier.wosWOS:000177818300304
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakConference Proceedings Citation Index – Science (CPCI-S)en_US
dc.institutionauthorPanayırcı, Erdalen_US
dc.institutionauthorid0000-0001-7328-6626
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE International Conference on Communicationsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAlgorithmsen_US
dc.subjectApproximate CRBen_US
dc.subjectBlind channel estimationen_US
dc.subjectBlind equalizersen_US
dc.subjectBlock codesen_US
dc.subjectChannel capacityen_US
dc.subjectChannel matrixen_US
dc.subjectChannel parametersen_US
dc.subjectCodesen_US
dc.subjectCommunication systems capacityen_US
dc.subjectComputer simulationen_US
dc.subjectDiscrete-time finite state Markov processen_US
dc.subjectDiversity methodsen_US
dc.subjectEncodingen_US
dc.subjectFadingen_US
dc.subjectFading (radio)en_US
dc.subjectFading channelsen_US
dc.subjectFading wireless channelsen_US
dc.subjectFinite alphabet propertyen_US
dc.subjecti.i.d. sequencesen_US
dc.subjectInformation sequenceen_US
dc.subjectInterferenceen_US
dc.subjectIterative algorithmsen_US
dc.subjectIterative Baum-Welch algorithmen_US
dc.subjectIterative methodsen_US
dc.subjectIterative ML algorithmen_US
dc.subjectLand mobile radioen_US
dc.subjectMarkov processesen_US
dc.subjectMaximum likelihood estimationen_US
dc.subjectMobile communication systemen_US
dc.subjectOmmunication channels (information theory)en_US
dc.subjectOptimisationen_US
dc.subjectRadio transmittersen_US
dc.subjectReceiving antennasen_US
dc.subjectSignal encodingen_US
dc.subjectSimulation resultsen_US
dc.subjectSpace time codesen_US
dc.subjectSpace time adaptive processingen_US
dc.subjectSpace-time block coding (STBC)en_US
dc.subjectSpace-time coded signalsen_US
dc.subjectSpace-time codingen_US
dc.subjectSpace-time coding systemsen_US
dc.subjectStochastic processesen_US
dc.subjectTransmitting antennasen_US
dc.subjectUnconditional ML estimatesen_US
dc.subjectUnconditional ML optimization cost functionen_US
dc.subjectUnconditional signal modelen_US
dc.subjectWireless telecommunication systemsen_US
dc.titleBlind channel estimation for space-time coding systems with Baum-Welch algorithmen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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