Adaptive order-decision method for memory polynomial based predistorters

  • Authors:
  • Cuiping Yu;Yuanan Liu;Shulan Li

  • Affiliations:
  • School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China;School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China;School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China

  • Venue:
  • WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
  • Year:
  • 2009

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Abstract

To predistort a power amplifier's nonlinearity with memory effects, various predistorters with memory are proposed. Among them, the memory polynomial (MP)-based predistorter attracts more attentions due to its low complexity and good performance. The nonlinearity order and memory order, as two key parameters of a MP-based predistorter, have great effect on the linearization performance. In this paper, a low complexity order-decision approach is proposed to find the optimal nonlinearity and memory order for MP-based predistorters. The proposed approach can make a predistorter fit for different PAs. This makes a predistorter more intelligent and universal. Finally, the proposed approach is verified by simulations and experiments.