Artículo
A Doubly Orthogonal Matching Pursuit Algorithm for Sparse Predistortion of Power Amplifiers
Autor/es | Becerra González, Juan Antonio
Madero Ayora, María José Reina Tosina, Luis Javier Crespo Cadenas, Carlos García-Frías, Javier Arce, Gonzalo |
Departamento | Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones |
Fecha de publicación | 2018-08 |
Fecha de depósito | 2022-02-23 |
Publicado en |
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Resumen | This letter presents a new method for the digital predistortion (DPD) of power amplifiers (PAs) based on sparse behavioral models. The Gram-Schmidt orthogonalization is synergistically integrated into the orthogonal matching ... This letter presents a new method for the digital predistortion (DPD) of power amplifiers (PAs) based on sparse behavioral models. The Gram-Schmidt orthogonalization is synergistically integrated into the orthogonal matching pursuit algorithm to decorrelate the selected model regressors against the components still to be selected. Experiments on a test bench based on a GaN PA driven by a 15-MHz orthogonal frequency division multiplexing signal were conducted in order to validate the algorithm. Experimental results in a DPD application and a comparison with other state-of-the-art algorithms highlight the enhancement of its pruning capabilities, reducing the number of coefficients while maintaining the performance. |
Identificador del proyecto | TEC2014-53103-P
TEC2017-82807-P |
Cita | Becerra-González, J.A., Madero-Ayora, M.J., Reina-Tosina, L.J., Crespo-Cadenas, C., García-Frías, J. y Arce, G. (2018). A Doubly Orthogonal Matching Pursuit Algorithm for Sparse Predistortion of Power Amplifiers. IEEE Microwave and Wireless Components Letters, 28 (8), 726-728. |
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