A Linear Antenna Array Design Based on Chebyshev and Genetic Algorithm Integration for Side Lobe Level Reduction. ATBU Journal of Science Technology and Education (JOSTE).

Abstract

An antenna is key in designing communication systems, this is because it is the medium through which signals can be sent and received. The exponential rise in internet of things users has informed the choice of antenna researchers to focus more on designing wideband antennas that can guarantee directive radiation pattern with high gain and reduced side lobes level. This paper presents a linear antenna design array based on Chebyshev and genetic algorithm integration for high gain and reduced side lobe level for 5G applications. The antenna design proposed is flexible such that, the model is not limited by the number of antenna elements which is a major drawback in most reviewed works. To this end, the model’s flexibility of proposing the inclusion of both even and odd numbers of antenna elements is a top-notch feature. All the required specifications that will make the model to outperform other existing models are incorporated in the developed antenna application (App) and implemented in MATLAB 2020a. In the developed antenna Application, the desired Side Lobe Level (SLL) can be configurable in order to obtain a reduced side lobe level and obtain maximum gain The Chebyshev and genetic algorithm integration is a novel model aim at reducing the side lobe level and increasing the directive gain.