dc.creatorZanatta Filho D.
dc.creatorCavalcante C.C.
dc.creatorResende L.S.
dc.creatorRomano J.M.T.
dc.date2007
dc.date2015-06-30T18:40:32Z
dc.date2015-11-26T15:01:57Z
dc.date2015-06-30T18:40:32Z
dc.date2015-11-26T15:01:57Z
dc.date.accessioned2018-03-28T22:12:56Z
dc.date.available2018-03-28T22:12:56Z
dc.identifier1424406617; 9781424406616
dc.identifierSbmo/ieee Mtt-s International Microwave And Optoelectronics Conference Proceedings. , v. , n. , p. 521 - 525, 2007.
dc.identifier
dc.identifier10.1109/IMOC.2007.4404319
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-50449086885&partnerID=40&md5=1d36c659d26d3cd537e50a9e9b1d0d2d
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/104290
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/104290
dc.identifier2-s2.0-50449086885
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1256377
dc.descriptionMultiuser processing, using an antenna array, has emerged as a suitable solution for capacity increase in wireless systems. The use of an antenna array reduces the multiuser interference, allowing two or more users to share systems resources in an efficient way. The use of a Linearly Constrained Minimum Variance (LCMV) criterion to optimize the antenna array weights has been proved to be a good solution for multiuser processing. This work presents an unified view of LCMV beamforming, including a solution that avoids direction of arrival (DOA) estimation and is able to cope with angular spread. An adaptive versions of the resulting technique is also presented. Moreover, we evaluate the performance of the proposed techniques in non-zero angular spread and non-stationary environments. The results provide an overview of the potential of LCMV techniques in multiuser wireless communication systems. © 2007 IEEE.
dc.description
dc.description
dc.description521
dc.description525
dc.descriptionFilho, D.Z., Cavalcante, C.C., Romano, J.M.T., Resende, L.S., An LCMV-Based Approach for Downlink Beamforming in FDD Systems in Presence of Angular Spread (2002) EUSIPCO 2002, , Toulouse, France, September
dc.descriptionFilho, D.Z., Cavalcante, C.C., Romano, J.M.T., Adaptive LCMV Beamforming Avoiding DOA Estimation for Packet-like Wireless Systems (2002) IEEE International Telecommunications Symposium (ITS'2002), , Natal-RN, Brazil, September
dc.descriptionZetterberg, P., Mobile cellular communications with base station antenna arrays: Spectrum efficiency, algorithms and propagation models, (1997), Ph.D. dissertation, Royal Institute of Technology, Stockholm, SwedenFrost III, O.L., An Algorithm for Linearly Constrained Adaptive Array Processing (1972) Proceedings of the IEEE, 60 (8), pp. 926-935. , August
dc.descriptionBuckley, K.M., Spatial/Spectral Filtering with Linearly Constrained Minimum Variance Beamformers (1987) IEEE Trans. on ASSP, 35 (3), pp. 249-275. , March
dc.descriptionResende, L.S., Romano, J.M.T., Bellanger, M.G., A Fast Least-Squares Algorithm for Linearly Constrained Adaptive Filtering (1996) IEEE Trans. on Signal Processing, 44 (5), pp. 1168-1174. , May
dc.descriptionHaykin, S., (1996) Adaptive Filter Theory, , 3rd ed. Prentice Hall
dc.descriptionCavalcanti, F.R.P., Smart Antennas and Space-Time Processing for Wireless Communication Systems, (1999), Ph.D. dissertation, State University of Campinas UNICAMP, Campinas, SP, Brazil, July
dc.languageen
dc.publisher
dc.relationSBMO/IEEE MTT-S International Microwave and Optoelectronics Conference Proceedings
dc.rightsfechado
dc.sourceScopus
dc.titleOn Adaptive Lcmv Beamforming For Multiuser Processing In Wireless Systems
dc.typeActas de congresos


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