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DOI: 10.14569/IJACSA.2018.090430
PDF

Robust Modeling and Linearization of MIMO RF Power Amplifiers for 4G and 5G Applications

Author 1: Imene ZEMZEMI
Author 2: Souhir LEJNEF
Author 3: Noureddine BOULEJFEN
Author 4: M.Fadhel GHANNOUCHI

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 4, 2018.

  • Abstract and Keywords
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Abstract: In this paper, a novel set of orthogonal crossover polynomials for the baseband modelling and linearization of MIMO RF Pas is presented. The proposed solution is applicable to WCDMA and LTE applications. The new modelling approach has considerably reduced the numerical instability problem associated with the conventional polynomial model identification. In order to validate the efficiency and the robustness of the proposed solution, a 2x2 MIMO LDMOS RF power amplifier has been measured modelled and linearized. A comparison with the conventional polynomial MIMO models showed clearly the superiority of the proposed solution in a fixed-point calculation environment such as DSP and FPGA boards.

Keywords: MIMO transmitter; RF power amplifiers; orthogonal polynomials; nonlinear transmitters; digital predistortion

Imene ZEMZEMI, Souhir LEJNEF, Noureddine BOULEJFEN and M.Fadhel GHANNOUCHI, “Robust Modeling and Linearization of MIMO RF Power Amplifiers for 4G and 5G Applications” International Journal of Advanced Computer Science and Applications(IJACSA), 9(4), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090430

@article{ZEMZEMI2018,
title = {Robust Modeling and Linearization of MIMO RF Power Amplifiers for 4G and 5G Applications},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090430},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090430},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {4},
author = {Imene ZEMZEMI and Souhir LEJNEF and Noureddine BOULEJFEN and M.Fadhel GHANNOUCHI}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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