Design of Yagi-Uda array using Particle Swarm Optimization

Article type: Research Article

Authors: Rattan, Munish^{a; *} | Patterh, Manjeet Singh^b | Sohi, B.S.^c

Affiliations: [a] Department of Electronics and Communication Engineering, Guru Nanak Dev Engg. College, Ludhiana, Punjab, India | [b] Department of Electronics and Communication Engineering, UCoE, Punjabi University, Patiala, Punjab, India | [c] Director, Surya School of Engineering and Technology, Patiala, Punjab, India

Correspondence: [*] Corresponding author. E-mail: rattanmunish@gndec.ac.in

Abstract: The optimization of Yagi-Uda antenna is a subject of continuous research since its invention because of its multimodal pattern and complexity due to the presence of parasitic elements. Particle Swarm Optimization (PSO) is a new, high performance evolutionary technique, which has recently been used for optimization problems in antennas and electromagnetics. In this paper, PSO has been used to simultaneously optimize the gain, front-to-back ratio, input resistance and beamwidth of Yagi-Uda array. The antenna array geometry with good performance, compared to the results in available literature, has been obtained.

Keywords: Antenna array synthesis, particle swarm optimization

DOI: 10.3233/JAE-2010-1077

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 32, no. 3, pp. 177-182, 2010