Evolutionary Computing Tools based Design of Elliptical Antenna Array for Amplitude-Position Technique

Abstract

The work presented in this paper refers to synthesis of elliptical antenna array for a desired radiation pattern in which the SLL is optimized using evolutionary computation algorithms like Accelerated Particle Swarm Optimization (APSO), Flower Pollination (FPA) and Antlion Optimization (ALO) algorithms. The amplitude-position technique of synthesis is used in which both amplitude and angular positions of the element on the circumference of the ellipse are determined using the evolutionary computing algorithms. The simulation-based experimentation is carried out for elliptical array of 12 and 20 elements arranged aperiodically with non-uniform amplitude distribution. The Simulations are performed in MATLAB 2019 and SLL are obtained from the corresponding radiation pattern for analysis.