Pre-distortion of nonlinear power amplifiers using ABC and PSO algorithms

Abstract

Power amplifiers are important components in every communication system. Power amplifiers are naturally nonlinear in nature. To have a good power amplifier without compromising its linearity, power amplifier linearization is important. There are different methods available for linearization. The inflexibility in defining the system for analysis or processing is the major drawback associated with these approaches and most of the works use analytical functions to be minimized; however, there is a lack of procedures or steps for effectively minimizing the function with various constraints. Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) algorithms can be used to overcome the lagging performance due to linearity problem. The PSO algorithm provides the best solution. Therefore the PSO algorithms is proposed to rectify and find a better solution for the minimization functions. Many computational complexities which affect the performance of the pre-distortion will be avoided. The new technique will be enhanced with a criterion that reduce the computational complexities and overcomes the overall prevailing problems