Optimization of ultra wide-band printed monopole square antenna using differential evolution algorithm

Abstract

A very rapid growth in wireless communication demands antennas with wider bandwidth range to carry out various applications. In this context, ultra wideband (UWB) technology has gathered a lot of interest because of its substantial bandwidth. In this paper, a novel Differential Evolution (DE) based optimization technique has been proposed to design a UWB printed square monopole antenna. The errors for desired lower band edge frequency and bandwidth are minimized to obtain the parameters of the antenna. These results have been compared with that of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Simulation results are given to show the performance of the proposed technique. A 2:1 VSWR bandwidth of 7.2 GHz (4.2–11.4 GHz) is achieved with the help of Differential Evolution (DE).