Shaped Beam Pattern Synthesis Using Multi-objective Optimization Algorithm

Chengyan Zhang, Shuilian Peng, Zhenyu Li, Jiabin Liu

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

Abstract

In this paper, the multi-objective optimization algorithm (MOA) has been proposed for shaped beam pattern synthesis. In order to test the performance of proposed algorithm, design cases of cosecant beam pattern synthesis are conducted, including the design case of synthesis with mutual coupling effect between the elements in the antenna array. Synthesis numerical results show that the MOA has obtained the smallest maximum mainlobe ripple (MMR) and the lowest maximum sidelobe level (MSL) compared with other latest synthesis algorithms. Besides, the convergence performance and computation complexity of the proposed synthesis algorithm are analyzed in this paper. Considering the outperformance on synthesis results, convergence and low computation complexity, the proposed algorithm is a kind of excellent synthesis algorithm for shaped beam pattern synthesis.

Original languageEnglish
Title of host publication2022 IEEE 5th International Conference on Electronics Technology, ICET 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages697-702
Number of pages6
ISBN (Electronic)9781665485081
DOIs
Publication statusPublished - 2022
Event5th IEEE International Conference on Electronics Technology, ICET 2022 - Chengdu, China
Duration: 13 May 202216 May 2022

Publication series

Name2022 IEEE 5th International Conference on Electronics Technology, ICET 2022

Conference

Conference5th IEEE International Conference on Electronics Technology, ICET 2022
Country/TerritoryChina
CityChengdu
Period13/05/2216/05/22

Keywords

  • antenna array
  • multi-objective optimization
  • mutual coupling
  • shaped beam pattern synthesis

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