循环极化打印双端口MIMO天线,极化多样性通过机器学习方法优化,适用于5G NR n77/n78频段应用
Ajay Kumar Dwivedi1, Nagesh Kallollu Narayanaswamy1, Krishna Kanth Varma Penmatsa2
1Department of Electronics and Communication, Nagarjuna College of Engineering and Technology, Bengaluru, Karnataka, India.
Scientific reports
|August 26, 2023
概括
一个新的双端口MIMO天线与双极化 (LHCP/RHCP) 呈现为5G n77/n78频段. 机器学习优化了天线的天线.
科学领域:
- 天线工程天线工程
- 无线通信无线通信
- 机器学习应用 机器学习应用
背景情况:
- 第五代 (5G) 无线系统需要在6GHz以下频段提供先进的天线解决方案.
- 多输入多输出 (MIMO) 技术对于提高光谱效率和链路可靠性至关重要.
- 极化多样性,利用左侧循环极化 (LHCP) 和右侧循环极化 (RHCP) 波,提高了MIMO性能.
研究的目的:
- 设计和验证一个紧的平面双端口MIMO天线.
- 为了实现双极化 (LHCP/RHCP) 操作的极化多样性.
- 使用机器学习优化天线为5G新无线电 (NR) 频段n77/n78.
主要方法:
- 设计了一个单一的天线单元,采用修改后的L形矩形散热器,带有Z形槽,装载有缺陷的地面结构 (DGS).
- 机器学习算法,特别是带有ADAM优化器的人工神经网络 (ANN),被用来优化DGS.
- 通过对单个单元进行镜像来创建双端口天线来实现MIMO配置.
主要成果:
- 拟议的天线实现了3.0-4.2 GHz的阻抗带宽 (IBW),覆盖了n77/n78频段.
- 获得了2.6-3.9 GHz的3dB轴比带宽 (ARBW),其中1端口产生RHCP,2端口产生LHCP.
- 优秀的多样性表现得到证实,ECC<0.005,DG ≈9.99 dB,MEG<3 dB.
结论:
- 开发的平面双端口MIMO天线有效地支持LHCP/RHCP偏振多样性,用于5G sub-6 GHz应用.
- 机器学习优化显著提高了天线的轴向比带宽和整体性能.
- 天线的紧尺寸和优越的多样性参数使其成为适合5G MIMO系统的散热器.
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