无线电工程2026，Vol.56Issue(5)：804-812,9.DOI:10.3969/j.issn.1003-3106.2026.05.006
基于FC-ED网络的无相位近场等效源重构方法
Phaseless Near-field Equivalent Source Reconstruction Method Based on FC-ED Network
摘要
Abstract
To address the issues of the highly ill-posed nature of inverse mapping equations,the tendency of traditional iterative algorithms to fall into local optima,and low computational efficiency in phaseless near-field antenna measurements,a single-plane equivalent Source Reconstruction Method(SRM)based on a Fully-Connected Encoder-Decoder(FC-ED)deep learning network architecture is proposed.In the data processing stage,a combined strategy of random Fourier contours and standard geometries is adopted to generate equivalent source training data with explicit electromagnetic diffraction physical guidance.In terms of network construction,a symmetric hourglass fully-connected topology is designed to achieve the capture of spatial electromagnetic features through dimensionality reduction and their reconstruction through dimensionality expansion.The convergence performance of the model,the accuracy of two-dimensional amplitude reconstruction on the source plane,and the one-dimensional far-field extrapolation are simulated and analyzed.The results indicate that the Mean Squared Error(MSE)of the two-dimensional equivalent source amplitude prediction of the model remains stable at the magnitude of 10-4,and the extrapolated cut-plane far-field radiation patterns are in high agreement with the theoretical true values with full amplitude and phase.Under the condition of requiring no iteration and relying solely on single-plane amplitude sampling,the proposed method effectively overcomes the challenge of the nonlinear inverse problem caused by near-field phase absence,achieving high-precision and highly robust field source reconstruction and far-field extrapolation.关键词
无相位测量/源重构方法/深度学习/近场天线测量Key words
phaseless measurement/SRM/deep learning/near-field antenna measurement分类
信息技术与安全科学引用本文复制引用
楚书元,黄凯悦,吕聚良,李腾..基于FC-ED网络的无相位近场等效源重构方法[J].无线电工程,2026,56(5):804-812,9.基金项目
国家自然科学基金(62001102) National Natural Science Foundation of China(62001102) （62001102）
