Gain Enhancement of Microstrip Antenna Using Genetic Algorithm: A Review

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

1 Citation (Scopus)

Abstract

In research on microstrip patch antennas, increasing antenna gain is a challenge. Various techniques have been carried out to increase the gain of microstrip antennas. However, most of the implementations of this method generally requires computer resources with high computing and storage space and takes a lot of time to run the simulation. Therefore, machine learning methods are used to optimize the antenna design to reduce the iteration process and increase antenna gain. Genetic algorithm is one of the efficient optimization methods and has been widely used in the electromagnetic field. This paper will review and compare the implementation of genetic algorithms in the microstrip antenna design process to improve antenna gain.

Original languageEnglish
Title of host publicationProceeding - 2021 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications
Subtitle of host publicationManaging the Impact of Covid-19 Pandemic: Together Facing Challenges Through Electronics and ICTs, ICRAMET 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages166-171
Number of pages6
ISBN (Electronic)9781665428163
DOIs
Publication statusPublished - 2021
Event10th International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2021 - Virtual, Online, Indonesia
Duration: 23 Nov 202124 Nov 2021

Publication series

NameProceeding - 2021 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications: Managing the Impact of Covid-19 Pandemic: Together Facing Challenges Through Electronics and ICTs, ICRAMET 2021

Conference

Conference10th International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2021
Country/TerritoryIndonesia
CityVirtual, Online
Period23/11/2124/11/21

Keywords

  • Gain enhancement
  • Genetic algorithm
  • Machine learning
  • Microstrip antenna

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