A study on designing an aperiodic antenna array using boolean pso

Abstract

Wireless communication systems play a major role in communication systems, especially in modern communication systems. An antenna is one of the most important part of wireless communication systems. An Antenna is a device for transmitting or receiving signals. Antennas can be broadly divided into two types, antenna elements and antenna arrays. Antenna elements function in transmitting or receiving signals. Antenna arrays are actually an array of antenna elements. Analytical approach for designing an antenna element is possible for an antenna array with a simple configuration. An example is a 2-element array. However, for designing complicated antenna arrays, it is a very difficult task, especially aperiodic arrays. A design problem can be regarded as an optimization problem. There are various optimization techniques; one of which is particle swarm optimization. Particle swarm optimization is one of optimization based on the behavior of social animals, i.e., fishes, birds and bees. For particle swarm optimization, each bee travel from place to place to find the highest density of honeybees. The bees and the highest density of honeybees are analogous to potential solutions and the position with optimal fitness function. Particle swarm optimization allows designing aperiodic antenna arrays more convenient and flexible. This paper presents a study on designing an aperiodic antenna array using boolean particle swarm optimization, a version of particle swarm optimization.