Linear Dipole Antenna Array design and optimization using Gravitational Search Algorithm

This paper presents an application of nature inspired population based algorithm namely Gravitational Search Algorithm (GSA) to Linear Dipole Antenna Array (LDAA) optimization. The design parameters of the LDAA to be optimized are the length of the dipole antenna elements and spacings out of each of the group of two neighbor elements. The self developed GSA using MATLAB is used to optimize the design parameters of the LDAA to determine a set of performance parameters of LDAA such as directivity and side lobe level. The major goal of antenna design is to achieve narrow beamwidth (high directive gain) and low side lobe level. The optimized radiation patterns indicate that the application of the GSA to our optimization problem is found to be a promising one for obtaining a higher directivity and lower side lobe level.