Behavioral modeling of class-J amplifier driven by 100MHz LTE-advanced signal using dynamic nonlinearity reduction

In this paper a low complexity behavioral model based on dynamic nonlinearity reduction is proposed for the behavioral modeling of power amplifiers driven by LTE-advanced signals. This allows for a reduction in the number of model coefficients´ without compromising its accuracy by independently minimizing the nonlinearity orders in each of the branches of the memory polynomial function. Experimental validation carried out on a class-J power amplifier driven by a 100-MHz LTE signal demonstrates the ability of the proposed model to accurately predict the amplifier´s output. Compared to the conventional twin-nonlinear two-box model, the dynamic nonlinearity reduction based twin-nonlinear two-box model reduces the number coefficients of the memory polynomial function from 75 to 30 while degrading the model´s NMSE by only 0.1dB.