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Performance of adaptive bayesian equalizers in outdoor environments
dc.contributor.author | Valenzuela González, José Luis |
dc.contributor.author | Casadevall Palacio, Fernando José |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2017-02-15T14:14:27Z |
dc.date.available | 2017-02-15T14:14:27Z |
dc.date.issued | 1997 |
dc.identifier.citation | Valenzuela, J., Casadevall, F. Performance of adaptive bayesian equalizers in outdoor environments. A: IEEE Vehicular Technology Conference. "VTC 1997: 47th Vehicular Technology Conference: Phoenix, Arizona, USA: May 4-7, 1997". Phoenix: IEEE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, INC., 1997, p. 2143-2147. |
dc.identifier.isbn | 0-7803-3659-3 |
dc.identifier.uri | http://hdl.handle.net/2117/101088 |
dc.description.abstract | Outdoor communications are affected by multipath propagation that imposes an upper limit on the system data rate and restricts possible applications. In order to overcome the degrading effect introduced by the channel, conventional equalizers implemented with digital filters have been traditionally used. A new approach based on neural networks is considered. In particular, the behavior of the adaptive Bayesian equalizer implemented by means of radial basis functions applied to the channel equalization of radio outdoor environments has been analyzed. The method used to train the equalizer coefficients is based on a channel response estimation. We compare the results obtained with three channel estimation methods: the least sum of square errors (LSSE) channel estimation algorithm, recursive least square (RLS) algorithm employed only to obtain one channel estimation and, finally, the RLS algorithm used to estimate the channel every decided symbol for the whole frame. |
dc.format.extent | 5 p. |
dc.language.iso | eng |
dc.publisher | IEEE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, INC. |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
dc.subject.lcsh | Telecommunication |
dc.subject.other | Telecommunication computing |
dc.subject.other | Adaptive equalisers |
dc.subject.other | Decision feedback equalisers |
dc.subject.other | Bayes methods |
dc.subject.other | Land mobile radio |
dc.subject.other | Data communication |
dc.subject.other | Digital radio |
dc.subject.other | Multipath channels |
dc.subject.other | Feedforward neural nets |
dc.subject.other | Parameter estimation |
dc.subject.other | Least squares approximations |
dc.subject.other | Recursive estimation |
dc.subject.other | Maximum likelihood estimation |
dc.title | Performance of adaptive bayesian equalizers in outdoor environments |
dc.type | Conference report |
dc.subject.lemac | Telecomunicació |
dc.contributor.group | Universitat Politècnica de Catalunya. GRCM - Grup de Recerca en Comunicacions Mòbils |
dc.identifier.doi | 10.1109/VETEC.1997.605991 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/document/605991/ |
dc.rights.access | Open Access |
local.identifier.drac | 2394859 |
dc.description.version | Postprint (published version) |
local.citation.author | Valenzuela, J.; Casadevall, F. |
local.citation.contributor | IEEE Vehicular Technology Conference |
local.citation.pubplace | Phoenix |
local.citation.publicationName | VTC 1997: 47th Vehicular Technology Conference: Phoenix, Arizona, USA: May 4-7, 1997 |
local.citation.startingPage | 2143 |
local.citation.endingPage | 2147 |