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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: 
Date Issue: 1997
Appears in Collections:Unicamp - Artigos e Outros Documentos

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