Suboptimum custom-tailored model based on the pruned Volterra series for power amplifiers

Abstract

This paper presents a suboptimum custom-tailored (SCT) model for power amplifiers (PAs). Based on the pruned Volterra series, the SCT model is developed by using a recursive optimum-term selecting (ROS) algorithm with an offline characterization process. The proposed model sacrifices accuracy in comparison with the custom-tailored (CT) model derived from the general Volterra series. But the former is still available, while the latter becomes unobtainable, as nonlinearity order and memory length increase. Further more, the proposed model inherits the merit of high efficiency from the base model. Simulation results show that it performs well in the time and frequency domains.