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dc.contributor.authorMestre Pons, Francesc X.
dc.contributor.authorRodríguez Fonollosa, Javier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2017-04-28T17:38:55Z
dc.date.available2017-04-28T17:38:55Z
dc.date.issued2000
dc.identifier.citationMestre, F., R. Fonollosa, J. Pilot-aided ML schemes for joint beamforming and channel estimation in WCDMA systems. A: IEEE International Symposium on Spread Spectrum Techniques & Applications. "2000 IEEE Sixth International Symposium on spread spectrum techniques and applications: 6-8 September 2000, Parsippany, NJ, USA: procceedings: communications for a new millenium". Parsippany, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2000, p. 239-243.
dc.identifier.isbn0-7803-6560-7
dc.identifier.urihttp://hdl.handle.net/2117/103869
dc.description.abstractThis paper proposes semi-blind channel estimation and interference cancellation schemes for the reception of pilot-aided signals in WCDMA systems. It is shown that the performance of classical training-based schemes is severely degraded due to the code-multiplexing (as opposed to time-multiplexing) of traffic and pilot signals. The time-dispersivity of the channel destroys the orthogonality between the traffic signal and the pilot, and consequently the traffic signal appears as a new interfering signal for the channel estimation/beamforming algorithm. In order to avoid this effect, we propose techniques that exploit both the presence of the training sequence and the structure of the traffic signal in a semi-blind fashion.
dc.format.extent5 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshTelecommunication
dc.subject.otherTelecommunication traffic
dc.subject.otherCode division multiple acces
dc.subject.otherBroadband networks
dc.subject.otherLand mobile radio
dc.subject.otherMultiuser channels
dc.subject.otherDispersive channels
dc.subject.otherMaximum likelihood estimation
dc.subject.otherArray signal processing
dc.subject.otherRadiofrequency interference
dc.subject.otherInterference suppression
dc.subject.otherspread spectrum communication
dc.titlePilot-aided ML schemes for joint beamforming and channel estimation in WCDMA systems
dc.typeConference report
dc.subject.lemacTelecomunicació
dc.contributor.groupUniversitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions
dc.identifier.doi10.1109/ISSSTA.2000.878120
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/878120/
dc.rights.accessOpen Access
local.identifier.drac2434171
dc.description.versionPostprint (published version)
local.citation.authorMestre, F.; R. Fonollosa, Javier
local.citation.contributorIEEE International Symposium on Spread Spectrum Techniques & Applications
local.citation.pubplaceParsippany, NJ
local.citation.publicationName2000 IEEE Sixth International Symposium on spread spectrum techniques and applications: 6-8 September 2000, Parsippany, NJ, USA: procceedings: communications for a new millenium
local.citation.startingPage239
local.citation.endingPage243


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