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Linear array pattern synthesis using multi-objective optimization algorithm based on reference vectors

  • Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

In this paper, non-dominated sorting genetic algorithm based on reference vectors (NSGA-II/BRV) is proposed to minimize the Peak Sidelobe Level (PSL) and the Average Broad Null Level (ABNL) for the pattern synthesis of linear array. Here, NSGA-II/BRV mainly focuses on the convergence and diversity of the obtained solutions for multi-objective problems. In order to get a better distribution and convergence of the obtained solutions, the members close to the uniformly distributed reference vectors will be selected. Compared with MOPSO, numerical examples demonstrate that NSGA-II/BRV applied to array pattern synthesis can obtains higher performance and better distribution of the final solutions.

源语言英语
主期刊名2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781728106601
DOI
出版状态已出版 - 5月 2019
活动28th Wireless and Optical Communications Conference, WOCC 2019 - Beijing, 中国
期限: 9 5月 201910 5月 2019

出版系列

姓名2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings

会议

会议28th Wireless and Optical Communications Conference, WOCC 2019
国家/地区中国
Beijing
时期9/05/1910/05/19

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