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通过低成本替代模型设计,优化发射阵列天线的设计
Mehmet A Belen1, Alper Caliskan2, Slawomir Koziel3,4
1Department of Electric and Electronic Engineering, Iskenderun Technical University , 31330, Hatay, Turkey.
Scientific reports
|September 12, 2023
概括
本研究介绍了使用人工智能驱动的替代品的发射器阵列的成本效益高的设计方法. 这种方法需要更少的数据样本,使高性能发射阵列的可靠设计成为可能.
科学领域:
- 电磁学 电磁学 电磁学 电磁学
- 天线理论天线理论
- 人工智能的人工智能
背景情况:
- 发射阵列提供高收益和高效的辐射,没有复杂的料,通过避免料阻塞,超过反射阵列.
- 设计发射阵列是复杂的,因为需要控制传输阶段和大小,需要全波电磁模型.
- 传输阵列的传统替代模型是昂贵的,需要数千个训练数据点.
研究的目的:
- 为设计发射阵列提出一种新的,成本效益高的方法.
- 开发支持人工智能的数据驱动替代品,以实现更快,更可靠的发射阵列单元元素建模.
- 为了减少替代模型构建所需的训练数据样本的数量.
主要方法:
- 开发人工智能支持的数据驱动的代孕模型.
- 使用显著减少的数据集 (数百个样本) 训练代孕模型.
- 替代模型的预测能力的验证,以实现可靠的发射阵列设计.
主要成果:
- 仅使用几百个训练样本,成功构建了支持人工智能的替代品.
- 通过拟议的方法,实现了足够的预测能力,以实现可靠的发射器阵列设计.
- 通过设计跨多个频段 (8-14 GHz,22-28 GHz,28-36 GHz) 的高性能发射阵列来证明该方法.
结论:
- 拟议的人工智能驱动的代理建模方法使发射阵列的成本效益设计成为可能.
- 与传统的替代模型相比,这种方法显著降低了数据采集成本.
- 经过验证的方法方便可靠设计各种应用的高性能发射器阵列.
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