Fuzzy adaptive signal predistorter for OFDM signals

Abstract

This work develops an adaptive High Power Amplifier (HPA) predistorter that applies the fuzzy logic and fuzzy set theory. As Volterra and Fourier series models or Neural Networks, a fuzzy logic system (FLS) is a nonlinear function approximator and we demonstrate its ability to compensate the nonlinear distortions for orthogonal multicarrier transmitters and relay stations. When compared with Volterra or Fourier Series predistorters, the main features of the fuzzy predistorter are low computational complexity and simple design. The good performance of the proposed predistorter is compared with that of a Fourier Series predistorter via simulations applied to the DVB (Digital Video Broadcasting) standard.