Adaptive Order-Decision Method for Memory Polynomial Based Predistorters

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.