Identification of Optimal Generalized Memory Polynomial Structure of RF Power Amplifiers Using Artificial Bee Colony optimization

This article presents a new approach to determine the optimal behavioral model of a nonlinear radio frequency power amplifier (RF PA) using artificial bee colony (ABC) optimization. The proposed approach, enables us to derive optimal PA models in a short time, thereby saving valuable computational time and resources. The efficiency of the proposed approach is validated by modeling the behavior of a class AB amplifier using an optimal generalised memory polynomial (GMP) model determined using ABC optimization technique.