深度学习辅助可重新配置的超表面天线,用于实时全息光束转向
Hyunjun Ma1, Jin-Soo Kim1, Jong-Ho Choe1
1Physics, Korea University, Seoul, 02841, Korea.
Nanophotonics (Berlin, Germany)
|December 5, 2024
概括
我们开发了一种深度学习方法,用于使用超表面天线实时全息光束转向. 这种方法显著加快了用于动态辐射模式生成的天线状态的控制.
科学领域:
- 电磁学 电磁学 电磁学 电磁学
- 天线工程天线工程
- 超材料是指一种超材料.
背景情况:
- 超表面天线可以通过重新配置超原子状态来实现光束方向.
- 传统的代状态确定方法对于实时应用来说太慢了.
研究的目的:
- 开发一种快速,基于深度学习的方法来控制超表面天线.
- 为了实现实时全息光束转向.
主要方法:
- 使用了结合自编码器和电磁散射方程的深度学习算法.
- 波恩近似和分析格林的功能被用于培训和验证.
- 使用了具有可变极化性的点二极体元素.
主要成果:
- 深度学习算法在不到200微秒的时间内确定元原子状态.
- 这使得远场辐射模式的实时控制成为可能.
- 全息光束方向是有效地实现的.
结论:
- 深度学习为实时超表面天线控制提供了可行的解决方案.
- 拟议的方法显著加快了所需辐射模式的生成.
- 这项工作为先进的全息天线应用铺平了道路.
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