DENG Dianjun; LI Yan

doi:10.7498/aps.74.20250062

Abstract

An algorithm of reconstructing phaseless radiation source based on singular value decomposition (SVD) regularization and fast iterative shrinkage-thresholding algorithm (FISTA) is proposed in this work, aiming at efficiently identifying electromagnetic interference (EMI) sources in integrated circuits (ICs). The method acquires electromagnetic field data through near-field scanning and reconstructs an equivalent dipole array on the surface of the radiation source by using the source reconstruction method (SRM). In the reconstruction process, the SVD regularization term enhances the algorithm's stability and noise resistance, while the FISTA accelerates the convergence speed.In order to validate the effectiveness of the proposed method, dipole array reconstruction is first performed using near-field data at a height of 5 mm for a patch antenna simulation model, followed by analyzing the magnetic field data at a 10 mm validation plane. At the 35th iteration, the total relative error of the reconstruction is 1.21%. The influence of the regularization parameter α on the result is then investigated, and it is found that when α = 0.05 the error is minimized. The method is also tested under different Gaussian white noise conditions, and the relative error is kept below 5%, which demonstrates strong robustness.Finally, the experiments on chips are conducted to verify the method. The proposed method converges stably within 35 iterations, with a relative error of 2.3% in the reconstruction results. The proposed method reduces the total iteration time to 61.7% of the single-layer phaseless interpolation algorithm, while achieving a 52% lower relative error than the double-layer phasless iteration algorithm. The experimental results show that the proposed method can reconstruct phaseless radiation source efficiently and accurately, and has good noise robustness, which is suitable for EMI analysis in ICs.

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Corresponding author: LI Yan, liyan@cjlu.edu.cn

Funds: Project supported by National Natural Science Foundation of China (Grant No. 62071424) and the Key Program of the Natural Science Foundation of Zhejiang Province, China (Grant No. LHZSD25F010001).

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方法	准备时间/s	迭代时间/s	总时间/s	总相对误差
双层无相位迭代算法^[18]	2031.21	201.05	2132.26	4.8%
单层无相位插值算法^[17]	202.15	110.36	312.51	3.4%
本文方法	95.34	97.56	192.9	2.3%

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Vol. 74, Issue 8 - 2025-04-20

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