SLL reduction in Antenna array using modified PSOGSA algorithm

Abstract

In this work, we used a new hybrid population-based algorithm (PSOGSA) which is a combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). It can be used to improve the side lobe level of a linear array of antennas for use in personal communication devices in order to satisfy the situation of huge demand and compressed development cycle for antenna design. Using PSOGSA we can optimize the spacing between the elements of the linear array to produce a radiation pattern with minimum side lobe level and null placement control