Aprendizagens Direta e Indireta para a Identificação de Pré-distorsores de Largura de Banda Limitada

Joel H. Chavez, Luis H. A. Lolis, Eduardo G. Lima

DOI: 10.14209/sbrt.2017.222

Evento: XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2017)

Keywords: Linearization memory polynomial modeling power amplifiers wireless communications

Abstract

This work addresses the linearization of power amplifiers for wireless communication systems through band- limited digital baseband predistortion (DPD). This work contribution is to present a comparative study between the direct and indirect learning architectures for the parameter identification of band-limited DPDs. Simulation results from a case study show that the indirect learning offers a linearization capability very close to the one offered by the direct learning, but demanding for a significantly lower computational cost.

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