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Pilot-aided ML schemes for joint beamforming and channel estimation in WCDMA systems
dc.contributor.author | Mestre Pons, Francesc X. |
dc.contributor.author | Rodríguez Fonollosa, Javier |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2017-04-28T17:38:55Z |
dc.date.available | 2017-04-28T17:38:55Z |
dc.date.issued | 2000 |
dc.identifier.citation | Mestre, 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.isbn | 0-7803-6560-7 |
dc.identifier.uri | http://hdl.handle.net/2117/103869 |
dc.description.abstract | This 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.extent | 5 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
dc.subject.lcsh | Telecommunication |
dc.subject.other | Telecommunication traffic |
dc.subject.other | Code division multiple acces |
dc.subject.other | Broadband networks |
dc.subject.other | Land mobile radio |
dc.subject.other | Multiuser channels |
dc.subject.other | Dispersive channels |
dc.subject.other | Maximum likelihood estimation |
dc.subject.other | Array signal processing |
dc.subject.other | Radiofrequency interference |
dc.subject.other | Interference suppression |
dc.subject.other | spread spectrum communication |
dc.title | Pilot-aided ML schemes for joint beamforming and channel estimation in WCDMA systems |
dc.type | Conference report |
dc.subject.lemac | Telecomunicació |
dc.contributor.group | Universitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions |
dc.identifier.doi | 10.1109/ISSSTA.2000.878120 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/document/878120/ |
dc.rights.access | Open Access |
local.identifier.drac | 2434171 |
dc.description.version | Postprint (published version) |
local.citation.author | Mestre, F.; R. Fonollosa, Javier |
local.citation.contributor | IEEE International Symposium on Spread Spectrum Techniques & Applications |
local.citation.pubplace | Parsippany, NJ |
local.citation.publicationName | 2000 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.startingPage | 239 |
local.citation.endingPage | 243 |