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用于增强5G广播覆盖的毫米波定向天线设计

Design of mmWave Directional Antenna for Enhanced 5G Broadcasting Coverage.

作者信息

Hong Tao, Zheng Shuli, Liu Rongke, Zhao Weiting

机构信息

Yunnan Innovation Institute·BUAA, Kunming 650000, China.

School of Electronics and Information Engineering, Beihang University, Beijing 100000, China.

出版信息

Sensors (Basel). 2021 Jan 22;21(3):746. doi: 10.3390/s21030746.

DOI:10.3390/s21030746
PMID:33499299
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7865306/
Abstract

5G mmWave broadcasting is considered to be the main method of future broadcasting. However, the mmWave transmission has a large space loss, especially in tunnels. In order to compensate for the attenuation of the broadcast signal, a directional horn antenna is designed in this paper. Substrate integrated waveguide (SIW) technology, dual-element arrays and extension structures are used to improve the antenna structure and achieve good directional characteristics. The multi-objective genetic algorithm (MOGA) is used to optimize the antenna parameters and improve optimization efficiency. Ultimately, the whole antenna was 28.2 mm in length and 28.6 mm in width, and the FR4 material, with a relative permittivity of 4.4, was used as a dielectric plate. The maximum gain of the antenna is 8.06 dB, and the bandwidth with gain greater than 6.5 dB is nearly 2 GHz. Antenna performance simulation and test results show that the extended semicircular structure is beneficial in enhancing the directional radiation of the antenna. This provides a reference method for directional antennas applied to 5G millimeter wave bands to increase gain and narrow beams.

摘要

5G毫米波广播被认为是未来广播的主要方式。然而，毫米波传输存在较大的空间损耗，尤其是在隧道中。为了补偿广播信号的衰减，本文设计了一种定向喇叭天线。采用基片集成波导（SIW）技术、双元阵列和扩展结构来改进天线结构，并实现良好的定向特性。使用多目标遗传算法（MOGA）优化天线参数并提高优化效率。最终，整个天线长28.2毫米、宽28.6毫米，采用相对介电常数为4.4的FR4材料作为介质板。天线的最大增益为8.06分贝，增益大于6.5分贝的带宽近2吉赫兹。天线性能仿真和测试结果表明，扩展半圆形结构有利于增强天线的定向辐射。这为应用于5G毫米波频段的定向天线增加增益和窄化波束提供了一种参考方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7865306/8926e0047927/sensors-21-00746-g015.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7865306/5b26b8cc5f76/sensors-21-00746-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7865306/87f659cac455/sensors-21-00746-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7865306/20209b98fa63/sensors-21-00746-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7865306/aec73a35e37e/sensors-21-00746-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7865306/e65fe1673697/sensors-21-00746-g014.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7865306/95401550ba80/sensors-21-00746-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7865306/353ee1b4ac32/sensors-21-00746-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7865306/8d79d30b4678/sensors-21-00746-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7865306/9281ebd36f5a/sensors-21-00746-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7865306/9b8841694f0d/sensors-21-00746-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7865306/74f41c4d4777/sensors-21-00746-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7865306/5b26b8cc5f76/sensors-21-00746-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7865306/87f659cac455/sensors-21-00746-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7865306/20209b98fa63/sensors-21-00746-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7865306/aec73a35e37e/sensors-21-00746-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7865306/e65fe1673697/sensors-21-00746-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7865306/8926e0047927/sensors-21-00746-g015.jpg

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