Compensation of the Nonlinear Power Amplifier by Using SCPWL Predistorter with Genetic Algorithm in OFDM technique

  • Mohannad A. M. Al-Ja'afari Najaf Technical Institute, Al-Furat Al-Awsat Technical University
  • Hussein M. H. Al-Rikabi Imam Al-Kadhum University College
  • Hassan F. M. Fakhruldeen Islamic Collage University, Al-Najaf
Keywords: nonlinear power amplifier, genetic algorithm digital predistorter, simplicial canonical piecewise linear model.

Abstract

The High Power Amplifiers (HPAs), which are used in wireless communication, are distinctly characterized by nonlinear properties. The linearity of the HPA can be accomplished by retreating an HPA to put it in a linear region on account of power performance loss. Meanwhile the Orthogonal Frequency Division Multiplex signal is very rough. Therefore, it will be required a large undo to the linear action area that leads to a vital loss in power efficiency. Thereby, back-off is not a positive solution. A Simplicial Canonical Piecewise-Linear (SCPWL) model based digital predistorters are widely employed to compensating the nonlinear distortion that introduced by a HPA component in OFDM technology. In this paper, the genetic algorithm has been used to optimized the SCPWL coefficients by using Matlab 2015b, and then the Bit Error Rate (BER) performance has been evaluated for OFDM signal with 16-QAM and 64-QAM modulations in three cases, with nonlinear effects, without nonlinear effects (ideal case), with SCPWL and with nonlinear effects (compensated case)). The simulation results showed that the predistorter that adjusted by the genetic algorithm accomplishes huge execution change by successfully compensating the nonlinearity and reducing the input and output back-off (IBO, OBO) of the HPA.

 

Downloads

Download data is not yet available.
Published
2018-06-01
How to Cite
Al-Ja’afari, M., Al-Rikabi, H. and Fakhruldeen, H. (2018) “Compensation of the Nonlinear Power Amplifier by Using SCPWL Predistorter with Genetic Algorithm in OFDM technique”, Journal of Engineering, 24(6), pp. 29-40. doi: 10.31026/j.eng.2018.06.03.