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

作者：Belabad Ahmad Rahati^*; Sharifian Saeed; Motamedi Seyed Ahmad

来源：Analog Integrated Circuits and Signal Processing, 2018, 95(2): 231-247.

DOI：10.1007/s10470-018-1173-x

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

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.

• 出版日期2018-5