Um Novo Modelo com Memória baseado em Aproximações Polinomiais Bidimensionais para Transmissores de Sistemas de Comunicações sem Fio

This article proposes a nonlinear model with memory, based on bi-dimensional polynomial approxim ations, for the behavioral modeling of wireless transmitter s. Using experimental data measured on a GaN-based class AB transmitter, the accuracies of the proposed model a nd the generalized memory polynomial (GMP) are compared. T he GMP is a particular instance of the proposed model, onc e the GMP includes only a subset of the contributions present at the proposed model. In a scenario where the polynomial order and memory length truncations are identical, it is obse rved that the proposed model reduces the normalized mean square e rror by up to 1.8 dB