Bandwidth Improvement of Dualband mm-wave Microstrip Antenna Using Genetic Algorithm

Abstract

The demand of multi-functional antennas with an achievable performance from a single device is increasing dramatically. At the same, dual-band rectangular microstrip antennas are essential for a wide range of mmwave applications. The goal of this study is to use a binary-coded genetic algorithm to enhance the operating bandwidth of a dual-band microstrip patch antenna for mm-wave wireless communication. The patch surface was optimized by gridding it into 10X10 tiny rectangular cells and assigning conducting and non-conducting features to them. The proposed method has iteratively modeled the antenna using a High-Frequency Structure Simulator (HFSS) and MATLAB. The optimized antenna has resonated at 39.1 GHz center frequency with a peak gain of 7.6 dBi and bandwidth of 1.6 GHz and 50.2 GHz center frequency with a peak gain of 7.3 dBi and bandwidth of 3.3 GHz.The antenna's total efficiency is 71.4 % at 39.1 GHz and 92.8 % at 50.2 GHz.