A novel Approach to Optimize GaN HEMT Power Amplifier with Gray Wolf Optimization Algorithm for Wireless Application

Abstract

Power amplifier design is one of the interesting issues in radio frequency science. Optimizing a power amplifier can improve the efficiency of a transmitter. In this paper, a novel method to optimize PA based evolutionary algorithm was presented for wireless applications. The proposed method used Gray Wolf Optimization as a robust algorithm to find the best values of the microstrip lines in the structure of a PA. After optimization, harmonic balance simulation was applied to validate the proposed algorithm. Simulation results have shown an average of PAE higher than 50%, an output power above 37.5 dBm and the input and the output return losses lower than -10 dB over the frequency range of 2.4-3 GHz.