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 in | IEEE microwave and wireless components letters Vol. 28; no. 8; pp. 726 - 728 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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. |
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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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