Pattern synthesis of linear antenna array using Hybrid Particle Swarm-Taguchi Optimization

Mahmud Esad Yigit, Tayfun Gunel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

In this paper, Hybrid Particle Swarm-Taguchi Optimization (HPSTO) is developed and pattern synthesis of a linear antenna array based on HPSTO is presented. HPSTO uses Taguchi Algorithm (TA) and Particle Swarm Optimization (PSO) in order to obtain desired side lobe level and half power beamwidth. The results obtained by TA, PSO and HPSTO are compared. The results show that HPSTO is much better than TA and PSO. Results of HPSTO are also compared with the results obtained by High Frequency Structural Simulator (HFSS).

Original languageEnglish
Title of host publication2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1017-1021
Number of pages5
ISBN (Electronic)9786050107371
Publication statusPublished - 2 Jul 2017
Event10th International Conference on Electrical and Electronics Engineering, ELECO 2017 - Bursa, Turkey
Duration: 29 Nov 20172 Dec 2017

Publication series

Name2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Volume2018-January

Conference

Conference10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Country/TerritoryTurkey
CityBursa
Period29/11/172/12/17

Bibliographical note

Publisher Copyright:
© 2017 EMO (Turkish Chamber of Electrical Enginners).

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