A Doubly Orthogonal Matching Pursuit Algorithm for Sparse Predistortion of Power Amplifiers

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...

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Published inIEEE microwave and wireless components letters Vol. 28; no. 8; pp. 726 - 728
Main Authors Becerra, Juan A., Madero-Ayora, Maria J., Reina-Tosina, Javier, Crespo-Cadenas, Carlos, Garcia-Frias, Javier, Arce, Gonzalo
Format Journal Article
LanguageEnglish
Published IEEE 01.08.2018
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Abstract 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.
AbstractList 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.
Author Becerra, Juan A.
Madero-Ayora, Maria J.
Garcia-Frias, Javier
Crespo-Cadenas, Carlos
Reina-Tosina, Javier
Arce, Gonzalo
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Snippet This letter presents a new method for the digital predistortion (DPD) of power amplifiers (PAs) based on sparse behavioral models. The Gram-Schmidt...
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SubjectTerms Behavioral modeling
compressive sensing
Computational modeling
digital predistortion (DPD)
Estimation
Kernel
Matching pursuit algorithms
Mathematical model
orthogonal matching pursuit (OMP)
power amplifier (PA)
Predistortion
Wireless communication
Title A Doubly Orthogonal Matching Pursuit Algorithm for Sparse Predistortion of Power Amplifiers
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Volume 28
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