An accurate digital baseband predistorter design for linearization of RF power amplifiers by a genetic algorithm based Hammerstein structure

  • Ahmad Rahati Belabad
  • Saeed Sharifian
  • Seyed Ahmad Motamedi


In this paper, a novel digital predistorter design based on the Hammerstein structure is proposed in order to linearize radio frequency power amplifiers. A genetic algorithm optimization method has been proposed to accurately identify the coefficients of a Wiener model for the power amplifier. Digital predistorter design based on the proposed Hammerstein model has been carried out according to the accurate Wiener model. The validation of the suggested model is carried out using the simulation of the power amplifier and the digital predistortion excited by 64QAM signals in the advanced design system software. According to the simulation results, the criterion of an adjacent channel power ratio decreased by about 16 dB. The simulation results show the adjacent channel power ratio of almost − 46 dBc. In order to assess the feasibility of the proposed predistorter, it is completely implemented in the Kintex FPGA using Vivado HLS. This proposed model enables a more accurate modeling of nonlinear distortion and memory effects compared to the previous linearization methods. This paper presents the new linearization method using the genetic algorithm based Hammerstein structure.


Genetic algorithm (GA) Power amplifiers (PAs) Wiener and Hammerstein model Digital predistortion (DPD) Linearization Memory effect Adjacent channel power ratio (ACPR) 


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Ahmad Rahati Belabad
    • 1
  • Saeed Sharifian
    • 1
  • Seyed Ahmad Motamedi
    • 1
  1. 1.Department of Electrical EngineeringAmirkabir University of TechnologyTehranIran

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