Design of a Symmetric CPW-Fed Patch Antenna for WLAN/WIMAX Applications Using ANN

Abstract

This article presents a coplanar waveguide fed dual-band microstrip patch antenna for Wireless Local Area Network and Worldwide Interoperability for Microwave Access applications. The proposed antenna is designed using the artificial neural networks (ANN) method based on the multilayer perceptron structure; it is composed of a coplanar ground plane with a circular patch conductor printed on the FR4 dielectric substrate. The fabricated antenna configuration has a global dimension of 24 $$\times $$ 33.5 $$\times $$ 1.56 mm $$^{3}$$ . The proposed antenna presents numerous advantages like small size, low profile, and simple structure. The operation properties such as reflection coefficient, current distribution, radiation pattern, gain, and radiation efficiency are presented and discussed respectively using both ANSYS HFSS and CST MWS electromagnetic simulators. A dual band presenting three resonant frequencies is achieved by predicting the dimensions of the added slots in the radiating patch using the ANN technique. The measured − 10 dB impedance bandwidths are 390 MHz (2.17–2.56 GHz) centered at 2.46 GHz and 3670 MHz (2.82–6.49 GHz), which presents two resonant frequencies 3.73 GHz and 6.20 GHz, as the measured and the simulated results have a good agreement. Moreover, the designed antenna presents good radiation pattern over the operating bands.