机器学习启用双宽带频率敏捷 [公式:见文本]陶基介电MIMO天线为5G新的无线电应用程序
Jayant Kumar Rai1, Ajay Kumar Dwivedi2, Vivek Singh2
1Department of Electrical and Electronics Engineering, ABV Indian Institute of Information Technology and Management, Gwalior, Madhya Pradesh, India.
Scientific reports
|March 21, 2025
概括
本研究介绍了一种用于5G新无线电 (NR) 应用的多功能频率敏捷 (FA) 天线. 利用PIN二极管,天线实现双带和宽带操作,并通过机器学习优化,以获得卓越的性能.
科学领域:
- 电磁和天线工程 电磁和天线工程
- 无线通信系统无线通信系统
- 材料科学在射频应用中的RF应用
背景情况:
- 5G新无线电 (NR) 需要先进的天线解决方案来实现可靠的高频通信.
- 频率敏捷 (FA) 天线为现代无线网络提供关键的动态频率选择功能.
- 介电共振器 (DR) 天线为多频段应用提供了紧而高效的解决方案.
研究的目的:
- 为5G NR设计和验证一个频率敏捷 (FA) 混合MIMO天线.
- 为了实现双带和宽带操作,使用矩形Al2O3介电共振器 (DR).
- 使用机器学习 (ML) 算法优化天线性能和预测S参数.
主要方法:
- 使用了一个由Al2O3陶 (εr = 9.8) 制成的矩形介电共振器 (DR).
- 使用PIN二极管开关来控制双带 (TE111模式) 和宽带 (TE111和TE211模式) 操作,实现了频率敏捷性 (FA).
- 多个机器学习 (ML) 算法,包括随机森林 (RF),用于天线优化和S参数预测.
主要成果:
- 该天线展示了双频到宽带的操作,最大调范围为49.36%.
- 实现了20dB的隔离和4.3dBi的增益.
- 随机森林 (RF) ML算法以超过99%的准确度预测了S参数,验证了模拟和测量结果.
结论:
- 开发的频率敏捷 (FA) 混合MIMO天线适合5G NR应用,因为其可调节的带宽和高性能.
- 整合PIN二极管和Al2O3 DR为灵活的频率操作提供了一个强大的解决方案.
- 机器学习优化显著提高了天线参数的设计过程和预测精度.
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