Behavioral Modeling and Digital Predistortion of 2x2 MIMO Wireless Transmitters with Enhanced Multivariable Polynomials

Authors

  • I. Zemzemi Department of Physics, University of Tunis El Manar, Tunisia
  • N. Boulejfen Research Center for Microelectronics and Nanotechnology, Technopole of Sousse, Tunisia
Volume: 9 | Issue: 5 | Pages: 4706-4711 | October 2019 | https://doi.org/10.48084/etasr.2974

Abstract

In this paper we propose a novel concept named Enhanced Multivariable Memory Polynomials (EMVP) for the behavioral modeling and linearization of Multiple Input Multiple Output (MIMO) transmitters in the presence of linear (LC) and nonlinear (NLC) coupling effects. The proposed model improves the linearization performance of the conventional Multivariable Memory Polynomials (MVP) model. Its performance is experimentally compared with the ones of three popular polynomial models. EMVP model has succeeded in offering better linearization of MIMO transmitters, with fewer coefficients, compared to the conventional models. Experimental results showed improvement in Adjacent Channel Power Ratio (ACPR

Keywords:

behavioral modeling, Digital Pre-Distortion (DPD), Multiple-Input Multiple-Output (MIMO), Enhanced Multivariable Memory Polynomials (EMVP)

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How to Cite

[1]
I. Zemzemi and N. Boulejfen, “Behavioral Modeling and Digital Predistortion of 2x2 MIMO Wireless Transmitters with Enhanced Multivariable Polynomials”, Eng. Technol. Appl. Sci. Res., vol. 9, no. 5, pp. 4706–4711, Oct. 2019.

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