一个2.4GHz补丁天线的参数模拟数据集,用于基于AI的S11预测
Ameni Mersani1,2, Kawther Mekki1, Omrane Necibi1
1University of Tunis El Manar, Faculty of Sciences Tunisia, Microwave Electronics Research Laboratory LR18ES43, 2092 Tunis, Tunisia.
Data in brief
|January 26, 2026
概括
这个数据集提供了超过55,000个微条纹补丁天线模拟在2.4 GHz附近. 它有助于机器学习用于天线设计,性能预测和无线和物联网应用中的优化.
科学领域:
- 电磁和无线电频率工程 电磁和无线电频率工程
- 计算智能和机器学习
背景情况:
- 微条纹补丁天线对于无线通信至关重要,在2.4 GHz等关键频段运行.
- 高效的天线设计和优化对于不断增长的物联网 (IoT) 领域至关重要.
- 开发强大的机器学习模型需要全面的数据集来预测天线性能.
研究的目的:
- 展示模拟微条纹补丁天线性能的大规模数据集.
- 为基准测试和开发人工智能驱动的天线设计工具提供资源.
- 为了促进天线优化的进步,包括阻抗匹配和带宽增强.
主要方法:
- 使用CST微波工作室生成了超过55,000个模拟样本.
- 在各种几何配置中进行参数扫描和变化研究.
- 记录了每个模拟样本的分贝S11反射系数 (回报损失) 值.
主要成果:
- 建立了一个全面的数据集,将天线几何图形映射到S11反射系数.
- 该数据集涵盖了在2.4 GHz附近运行的天线的广泛设计可能性.
- 这些数据适用于用于天线应用的机器学习模型的培训和验证.
结论:
- 该数据集是射频和微波工程研究的宝贵资源,特别是在人工智能驱动的天线设计中.
- 未来的版本将包括实验验证和扩展的参数,如阻抗,以提高模型的稳定性.
- 这项工作支持自动天线设计和优化流程的进步.
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