A Comparative Study of MoM/GA and MoM/PSO in Synthesizing Linear Antennas Arrays

With the rapid increase in wireless applications such as mobile base stations, radars, etc.., the antenna array becomes the key issue in tackling these applications since the antenna is considered the eye of any wireless communication system. Recently, many research efforts are exerted to reach the optimum synthesis of an antenna array. One of the successful techniques that are developed recently to synthesize radiation patterns is the MoM/GA technique. This technique is based on both the Method of Moment (MoM) and the genetic algorithm (GA). The MoM is considered an accurate numerical technique to solve integral equations. The GA is questioned when compared to the particle swarm optimization (PSO) when optimizing the parameters of the MoM. In this paper, a comparative study to identify the features of both the GA and the PSO when added to the MoM to synthesis the antenna arrays is introduced. The performance of MoM/GA and MoM/PSO on the synthesis of arbitrary shaped pattern is compared in terms of convergence time and global best solution. The new MoM/PSO saves convergence time around 50% and reduces the least mean square error (LMSE) by 85% in the nonuniform spaced array compared to the recently reported MoM/GA. Index Term— Antenna array, Method of Moment, Particle swarm optimization, Genetic algorithm .