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Neural Network-Based High-Power Microwave Near-Field Reconstruction Method

  • Haozhe Tian*
  • , Hui Deng
  • , Minjie Li Jiangnan
  • , Junbing Liu
  • , Rongqiang Yang
  • *Corresponding author for this work
  • Beihang University
  • Jiangnan Electromechanical Design Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper introduces a novel Neural Network-Based High-Power Microwave Near-Field Reconstruction Method for assessing and analyzing high-power pulse measurements in electromagnetic engineering. Traditional near-field measurements face challenges with instantaneous high peak power and short pulse widths in high-power pulse signals. The proposed method leverages neural networks to enhance data processing efficiency and analysis, demonstrating effectiveness in reconstructing the entire spatial field. The training process showcases convergence after 1000 iterations, with computational efficiency suitable for real-time applications.

Original languageEnglish
Title of host publication2024 IEEE 7th International Conference on Electronic Information and Communication Technology, ICEICT 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages250-252
Number of pages3
ISBN (Electronic)9798350384437
DOIs
StatePublished - 2024
Event7th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2024 - Xi'an, China
Duration: 31 Jul 2024 → 2 Aug 2024

Publication series

Name2024 IEEE 7th International Conference on Electronic Information and Communication Technology, ICEICT 2024

Conference

Conference7th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2024
Country/TerritoryChina
CityXi'an
Period31/07/24 → 2/08/24

Keywords

  • High-Power Pulse Measurement
  • Near-Field Reconstruction
  • Neural Network

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