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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

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) · Vol. 9, No. 4 · Published 2018

DOI: https://doi.org/10.14569/IJACSA.2018.090430

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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

How to Cite this Article

ZEMZEMI, I., LEJNEF, S., BOULEJFEN, N., & GHANNOUCHI, M. (2018). Robust Modeling and Linearization of MIMO RF Power Amplifiers for 4G and 5G Applications. International Journal of Advanced Computer Science and Applications, 9(4). https://doi.org/10.14569/IJACSA.2018.090430

ZEMZEMI, Imene, et al.. "Robust Modeling and Linearization of MIMO RF Power Amplifiers for 4G and 5G Applications." International Journal of Advanced Computer Science and Applications, vol. 9, no. 4, 2018, https://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},
  volume    = {9},
  number    = {4},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Imene ZEMZEMI and Souhir LEJNEF and Noureddine BOULEJFEN and M.Fadhel GHANNOUCHI},
  doi       = {10.14569/IJACSA.2018.090430},
  url       = {https://doi.org/10.14569/IJACSA.2018.090430}
}

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