Artículo
Digital predistortion of power amplifiers using structured compressed-sensing Volterra series
Autor/es | Becerra González, Juan Antonio
Madero Ayora, María José Reina Tosina, Luis Javier Crespo Cadenas, Carlos |
Departamento | Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones |
Fecha de publicación | 2017-01 |
Fecha de depósito | 2022-03-08 |
Publicado en |
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Resumen | Digital predistortion has become an attractive technique for power amplifier linearisation whose limiting factor for using Volterra series as the underlying model is its computational complexity, since the number of ... Digital predistortion has become an attractive technique for power amplifier linearisation whose limiting factor for using Volterra series as the underlying model is its computational complexity, since the number of components rapidly grows with the non-linear order and memory. Based on a previous reference algorithm, which consists on applying the orthogonal matching pursuit for the sorting of the model components and a Bayesian information criterion for the selection of the optimum number of components, a new technique to reduce the size of the support set taking into account the structural information within a model is presented. Experimental results of the predistortion of a commercial power amplifier are given as a proof of its capabilities, showing equivalent performance to the pruning with the reference algorithm while further reducing the number of components. |
Identificador del proyecto | TEC2011-23559
TEC2014-53103-P |
Cita | Becerra-González, J.A., Madero-Ayora, M.J., Reina-Tosina, L.J. y Crespo-Cadenas, C. (2017). Digital predistortion of power amplifiers using structured compressed-sensing Volterra series. Electronics Letters, 53 (2), 89-91. |
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EL_2017_Becerra_Madero_Digital.pdf | 365.0Kb | [PDF] | Ver/ | |