Paper
18 February 2022 Electrical field reconstruction by GAN
Yinfeng Zhou, Xuejun Zhang, Huirong Li, Shengtao Wang
Author Affiliations +
Proceedings Volume 12162, International Conference on High Performance Computing and Communication (HPCCE 2021); 121620B (2022) https://doi.org/10.1117/12.2628066
Event: 2021 International Conference on High Performance Computing and Communication, 2021, Guangzhou, China
Abstract
With the popularity of smart wearables and smart homes, any product with WWAN or WIFI functionality is likely to be subject to Specific Absorption Rate (SAR) testing in order to ensure its security. According to regulatory requirements, SAR testing is mandatory once the usage distance and maximum power exceeds the specified exemption limits. Any SAR value can consequently be deduced from electric fields measurement within a given dielectric medium, usually assumed as homogeneous for practical convenience. In this paper, six antenna numerical models are designed and simulated using SAMCAD software to obtain two-dimensional electric field data and three-dimensional electric field data, and the twodimensional data are used as input training for the GAN to generate three-dimensional data. The experimental results show that the electric field reconstruction method proposed in this paper is effective.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yinfeng Zhou, Xuejun Zhang, Huirong Li, and Shengtao Wang "Electrical field reconstruction by GAN", Proc. SPIE 12162, International Conference on High Performance Computing and Communication (HPCCE 2021), 121620B (18 February 2022); https://doi.org/10.1117/12.2628066
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KEYWORDS
Data modeling

Synthetic aperture radar

Gallium nitride

Antennas

3D modeling

Absorption

Dielectrics

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