Intelligent Automation of Antenna Array Synthesis for RF Safety Simulations

To keep up with the growing complexity of antennas used for high-speed communication, it is imperative to develop accurate and efficient methods to model such antennas for radio frequency (RF) compliance certification. This paper describes how machine learning optimizations were applied to a ray-tracing implementation of the methodology outlined in the IEC 62232 standard [1] to significantly improve the manual synthesis process.

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Published
2024-09-02
DOI
https://doi.org/10.1109/apwc61918.2024.10701734
Primary Topic
Antenna Design and Optimization
Type
article
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article

Intelligent Automation of Antenna Array Synthesis for RF Safety Simulations

Rikus Human, D. J. Ludick, Raynard Swanepoel
Antenna Design and Optimization
article

Intelligent Automation of Antenna Array Synthesis for RF Safety Simulations

Rikus Human, D. J. Ludick, Raynard Swanepoel
article en

Abstract

To keep up with the growing complexity of antennas used for high-speed communication, it is imperative to develop accurate and efficient methods to model such antennas for radio frequency (RF) compliance certification. This paper describes how machine learning optimizations were applied to a ray-tracing implementation of the methodology outlined in the IEC 62232 standard [1] to significantly improve the manual synthesis process.

Stellenbosch University (ZA)
Affordable and clean energy
Openalex Percentile: Top 73%
Antenna Design and Optimization
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Intelligent Automation of Antenna Array Synthesis for RF Safety Simulations — Rikus Human, D. J. Ludick, et al. · (2024) | TGRS Research Map | TGRS