一种基于Uryson算子的记忆预失真器

he accuracy of predistorter (PD) modeling, especially the description capacity for inverse memory characteristics of power amplifier (PA), is one key factor in the compensation of PA with memory effects. In order to solve the problem, Uryson operator is simplified reasonably to derive a novel PD model, which consists of a nonlinear subsystem followed by a weighted linear subsystem. In this paper, the proposed model is realized by a spline function followed by a filter. The experimental results show that the predistorter based on the proposed PD model can more efficiently compensate the nonlinear distortion of PA with memory effects.