电波科学学报2026，Vol.41Issue(1)：42-52,11.DOI:10.12265/j.cjors.2025185
基于特征参数提取的智能电磁散射分析方法进展
Progress in intelligent electromagnetic scattering analysis methods based on the extraction of feature parameters
摘要
Abstract
Computational electromagnetics(CEM)occupies the core position in the field of electromagnetic engineering applications,such as optimization of radar target characteristics,analysis and design of antennas,and modeling of microwave devices and systems.Traditional CEM methods have matured after the researches over the past half century.In recent years,benefiting from the rapid development of artificial intelligence,intelligent electromagnetic computing has drawn an increasing attention as an emerging front.It aims to lower the technical implementation difficulty of traditional CEM methods,and greatly accelerate the simulation process under the condition of ensuring result accuracy.Focusing on the applications in electromagnetic scattering analysis,this paper discusses the intelligent electromagnetic computing methods based on the learning and extraction of target feature parameters,which are a group of parameters that connect the target structural attributes to the target electromagnetic characteristics.They can possess the functions similar to the system transfer function.Once obtained,they can be utilized to calculate the scattered far fields for arbitrary incident and observation directions.A brief outlook is given to this kind of methods in the near future.关键词
智能电磁计算/电磁散射特性/目标特征参数/机器学习(ML)/特征提取Key words
intelligent electromagnetic computing/electromagnetic scattering characteristics/target feature parameters/machine learning/feature extraction分类
数理科学引用本文复制引用
张文炜,曹嘉宁,康家齐,黄文驰,孔德铧,夏明耀..基于特征参数提取的智能电磁散射分析方法进展[J].电波科学学报,2026,41(1):42-52,11.基金项目
国家自然科学基金(62231001,62171005)National Natural Science Foundation of China(62231001,62171005) （62231001,62171005）
