학술논문

A Field Iterative Method for Efficient Source Reconstruction Based on Magnitude-only and Single-plane Near-field Scanning
Document Type
Conference
Source
2021 Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC) Electromagnetic Compatibility (APEMC), 2021 Asia-Pacific International Symposium on. :1-4 Sep, 2021
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
General Topics for Engineers
Power, Energy and Industry Applications
Signal Processing and Analysis
Transportation
Reconstruction algorithms
Numerical simulation
Filling
Numerical models
Iterative methods
Matrix decomposition
Noise measurement
Efficiency
electromagnetic interference (EMI)
near-field (NF) scanning
phase retrieval
source reconstruction
Language
ISSN
2640-7469
Abstract
Radio-frequency interference (RFI) problems in modern electronic product become complex which result in the increasing number of scanning points. Conventional near-field phaseless source reconstruction methods such as double planes iteration method and single plane iteration method will spend a lot of time in both scanning and calculating. To save the calculating time and scanning time, an alternating iterative method is proposed for source reconstruction based on magnitude-only and single-plane near field scanning. Firstly, the single-plane scanning data is divided into two groups as group A and B according to the components, i.e. the electric field group and the magnetic field group for the four components, or ${H_{x}}$ group and ${H_{y}}$ group for two components. Then, the processed A and B phaseless data groups are used iteratively in the back-and-forth transformations to get the equivalent dipole elements. Under the premise of a large amount of scanning data, such as the simulation example, compared with conventional method filling the scanning data into a whole matrix, the proposed method can save 90% calculating time, especially the time in singular value decomposition (SVD) before the iteration. A numerical simulation and a measurement example is verified the effectiveness of the proposed method, which show a comprise between accuracy and efficiency.