Near-Field-Based 5G Sub-6 GHz Array Antenna Diagnosis Using Transfer Learning

Hong Jun Lim,Keum Cheol Hwang,Dong Hwan Lee,Hark Byeong Park

doi:10.3390/app112110164

Hong Jun Lim, Keum Cheol Hwang + Show 2 more

Open Access

https://doi.org/10.3390/app112110164

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Journal: Applied sciences	Publication Date: Oct 29, 2021
Citations: 1	License type: CC BY 4.0

Affiliation: Sungkyunkwan University, Samsung (South Korea)

Abstract

In this paper, we propose a method for near-field-based 5G sub 6-GHz array antenna diagnosis using transfer learning. A classification network was implemented for normal/abnormal operation of the array antenna and the failure of a specific port. Furthermore, a regression network that could predict the amplitude and phase of the excitation signal of the array antenna was employed. Additionally, to accelerate the array antenna diagnosis, several near-field lines were sampled and reflected in the regression network. The proposed method was verified by measuring a fabricated 5G sub-6 GHz band 4×4 array antenna in various scenarios using a divider and coaxial cables. The tests showed that the trained network accurately diagnosed 29 of 30 measurement results.

Highlights

With the expansion of the 5G mobile communication business, there has been a rapid increase in the demand for both single antennas, which are used in existing mobile phones, and array antennas, which have high gain and beam steering [1,2]
An array antenna is composed of the same radiation elements and electronic components, the amplitude and phase errors of the applied signal are caused by problems such as component failure, mutual interference, and heat generation [4]
The electric field at any position can be calculated, and this method is called the back-projection technique. If this technique is applied to the surface of an array antenna, the electric field distribution near the surface can be predicted, and the correction/error, amplitude, and phase error can be determined in units of the array antenna elements

Summary

Introduction

With the expansion of the 5G mobile communication business, there has been a rapid increase in the demand for both single antennas, which are used in existing mobile phones, and array antennas, which have high gain and beam steering [1,2]. An array antenna is composed of the same radiation elements and electronic components, the amplitude and phase errors of the applied signal are caused by problems such as component failure, mutual interference, and heat generation [4] As these errors affect the performance of an array antenna, its diagnosis is essential. The electric field at any position can be calculated, and this method is called the back-projection technique If this technique is applied to the surface of an array antenna, the electric field distribution near the surface can be predicted, and the correction/error, amplitude, and phase error can be determined in units of the array antenna elements.

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