Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/100311
Type: Artigo de evento
Title: Predictive Self-learning Equalization For Mobile Radio Channels: An Lmsxrls Comparison
Author: da Rocha Lopes Renato
Faria da Rocha Carlos Aurelio
Travassos Romano Joao Marcos
Abstract: In this work, the applicability of blind equalizers to mobile communication systems is investigated. The equalizing scheme to be used consists of a non-linear IIR predictive structure composed of a cascade of a magnitude and a phase equalizer. The aim is to provide a comparison between the LMS and the RLS techniques implemented in this structure. Simulation results are first presented considering a stationary model of the mobile radio channel. Then, the tracking capability of both algorithms is analyzed in a non-stationary context of mobile radio channels.
Editor: IEEE, Piscataway, NJ, United States
Rights: fechado
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-0031356041&partnerID=40&md5=9a718cb23e76418301691adbc5ddf2ef
Date Issue: 1997
Appears in Collections:Unicamp - Artigos e Outros Documentos

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