Nova Abordagem de Redes Neurais de Função de Base Radial de Valores Complexos para Modelagem Comportamental de Amplificadores de Potência
Walter Bastos Pfeffer, Eduardo Gonçalves de Lima
DOI: 10.14209/sbrt.2017.14
Evento: XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2017)
Keywords: Modeling neural networks power amplifier radio frequency wireless communication systems
Abstract
This work deals with the behavioral modeling of power amplifiers for wireless communication systems based on complex-valued radial basis function neural network (CVRBFNN). In this work, modifications on the CVRBFNN input and output are proposed with the purpose of optimizing its usage for low-pass equivalent modeling. In comparison with a previous approach of same computational complexity, results from a case study show an improvement in modeling accuracy of up to 8.74 dB in normalized mean square error by the adoption of the proposed configurationDownload