dc.creatorChaves F.D.S.
dc.creatorRomano J.M.T.
dc.creatorAbbas-Turki M.
dc.creatorAbou-Kandil H.
dc.date2011
dc.date2015-06-30T20:29:21Z
dc.date2015-11-26T14:50:25Z
dc.date2015-06-30T20:29:21Z
dc.date2015-11-26T14:50:25Z
dc.date.accessioned2018-03-28T22:01:38Z
dc.date.available2018-03-28T22:01:38Z
dc.identifier9781457705700
dc.identifierIeee Workshop On Statistical Signal Processing Proceedings. , v. , n. , p. 717 - 720, 2011.
dc.identifier
dc.identifier10.1109/SSP.2011.5967803
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-80052223071&partnerID=40&md5=b839dfb6a7d1f45e196e14b722633956
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/108121
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/108121
dc.identifier2-s2.0-80052223071
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1254156
dc.descriptionIn this work, H2 and H optimization criteria are briefly discussed and evaluated in the context of adaptive space-time channel equalization. While the first criterion presents better mean performance, the second one is more appropriate for worst case situations. This suggests a combination of their characteristics. The paper proposes a convex combination of the H2 and H filters, which leads to a novel equalizer structure that performs, in terms of mean square error, as well as or better than the best individual filter. © 2011 IEEE.
dc.description
dc.description
dc.description717
dc.description720
dc.descriptionPaulraj, A.J., Papadias, C.B., Space-time processing for wireless communications (1997) IEEE Signal Processing Magazine, 14 (6), pp. 49-83. , Nov
dc.descriptionSayed, A.H., Kailath, T., A state space approach to adaptive RLS filtering (1994) IEEE Signal Processing Magazine, 11 (3), pp. 18-60. , Jul
dc.descriptionHassibi, B., Sayed, A.H., Kailath, T., (1999) Indefinite- Quadratic Estimation and Control: A Unified Approach to H2 and H∞ Theories, , SIAM
dc.descriptionSimon, D., (2006) Optimal State Estimation, , John Wiley & Sons
dc.descriptionShaked, U., Theodor, Y., H∞-optimal estimation: A tutorial (1992) IEEE Conference on Decision and Control, 2, pp. 2278-2286. , Dec
dc.descriptionKuzminskiy, A.M., Strauch, P., Space-time filtering with suppression of asynchronous co-channel interference (2000) IEEE Symposium on Adaptive Systems for Signal Processing, Communications, and Control, pp. 385-389. , Oct
dc.descriptionKhargonekar, P.P., Rotea, M.A., Mixed H2/H∞ control: A convex optimization approach (1991) IEEE Trans. Automatic Control, 36 (7), pp. 824-837. , Jul
dc.descriptionArenas-García, J., Figueiras-Vidal, A.R., Sayed, A.H., Mean-square performance of a convex combination of two adaptive filters (2006) IEEE Trans. Signal Processing, 54 (3), pp. 1078-1090. , Mar
dc.descriptionSilva, M.T.M., Nascimento, V.H., Convex combination of blind adaptive equalizers with different tracking capabilities (2007) IEEE International Conference on Acoustics, Speech and Signal Processing, 3, pp. 457-460. , Apr
dc.descriptionDigital cellular telecommunications system (phase 2+): Radio transmission and reception (2001) Technical Report TS 45005, 3rd Generation Partnership Project (3GPP), , 3GPP, Jul
dc.languageen
dc.publisher
dc.relationIEEE Workshop on Statistical Signal Processing Proceedings
dc.rightsfechado
dc.sourceScopus
dc.titleA Convex Combination Of H2 And H∞ Filters For Space-time Adaptive Equalization
dc.typeActas de congresos


Este ítem pertenece a la siguiente institución