概括
本研究引入了相梯度接近 (PGA) 方法,以增强特拉赫兹束方向在编码元表面. 由PGA启动的基因算法 (GA) 提高了特拉赫兹应用的性能和计算效率.
科学领域:
- 超表面和纳米光子学
- 电磁学和波浪传播
- 特拉赫兹技术的技术.
背景情况:
- 特拉赫兹主动编码元表面面临相位转移范围和精度的限制,阻碍了光束转向.
- 现有的优化方法通常是计算密集型的,并且对于缺陷的元表面来说效果不佳.
研究的目的:
- 开发一个增强的阵列级优化框架,用于太赫兹束方向.
- 用一种新的优化方法来提高2位编码元面的性能.
主要方法:
- 一个数组级优化框架,结合了阶段编码调制和遗传算法 (GA).
- 一个阶段梯度接近 (PGA) 算法,用于生成 GA 的近最佳初始群体.
- 设计和模拟220 GHz的被动,二位编码元表面.
主要成果:
- 使用150°阶段调制的PGA方法显著增加了主叶幅度 (平均. 2.29 dB) 和降低侧叶水平 (平均水平). 2.52dB) 与分数编码相比.
- 与分数编码优化相比,PGA启动的GA优化减少了61.08%的计算代.
- 在正常和斜事件下证明了增强的光束转向.
结论:
- 由PGA发起的拟议的GA优化框架为增强非理想编码元面提供了一个可行的解决方案.
- 这种方法显著提高了光束转向性能和计算效率.
- 潜在的应用包括太赫兹无线通信,计算成像和压缩传感.
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