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Optimization of Sparse Planar Arrays using Genetic Algorithms

  • Harbin Institute of Technology

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

Abstract

This paper uses genetic algorithm for sparse layout optimization of square array and concentric ring array to verify the feasibility of using genetic algorithm to optimize sparse layout array, and compares the impact of four different array element layout methods on the maximum sidelobe level of the optimized antenna pattern.

Original languageEnglish
Title of host publication2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781733509657
DOIs
StatePublished - 2023
Event2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023 - Hangzhou, China
Duration: 15 Aug 202318 Aug 2023

Publication series

Name2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

Conference

Conference2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023
Country/TerritoryChina
CityHangzhou
Period15/08/2318/08/23

Keywords

  • MSLL
  • algorithms
  • sparse planar array

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