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Highly Localized Cylindrical Wave Synthesis for Linear Array Based on Convolutional Neural Network

  • Chengcheng Guan
  • , Rui Cai
  • , Da Huang
  • , Ming Bai*
  • *此作品的通讯作者
  • Beihang University
  • CNC Processing Plant of AVIC Xi'an Aircraft Industry Company LTD

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, a generalized method based on convolutional neural network is proposed for the synthesis of highly localized quasi-cylindrical wave in the near field from a linear array. The convolutional neural network (CNN) is exploited to optimize the excitation amplitudes and phases. Simulation and measurement results for an 8 elements X-band uniform linear array are presented, demonstrating that the trained network produces cylindrical wavefront in a specific zone in the near field with flat amplitude and phase, which can help consequently enhance the accuracy of measurement and the efficiency of directional energy transmission.

源语言英语
主期刊名IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2025 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798331597993
DOI
出版状态已出版 - 2025
活动2025 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2025 - Tianjin, 中国
期限: 29 7月 20251 8月 2025

出版系列

姓名IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2025 - Proceedings

会议

会议2025 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2025
国家/地区中国
Tianjin
时期29/07/251/08/25

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