基于机器学习的毫米波移动系统低成本AiP阵列设计

Mohammed Farouk Nakmouche, M. Idrees Magray, A. Allam, D. Fawzy, D. Lin, J. Tarng
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引用次数: 0

摘要

基于低成本PCB解决方案,利用机器学习技术设计了毫米波移动系统专用的封装阵列天线(AiP)。该天线工作频率为28ghz (26.5 ~ 29.5 GHz),工作带宽增益范围为8db ~ 15db。提出的AiP的开发过程是由机器学习辅助的,用于根据共振频率预测最佳辐射斑块的长度和宽度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-Cost AiP Array Design Using Machine Learning for mmWave Mobile Systems
Based on low-cost PCB solution, an array antenna in packaging (AiP) dedicated for mmWave mobile systems is designed using machine learning. The proposed antenna operates at 28 GHz (26.5 - 29.5 GHz) with a gain ranging from 8 dB to 15 dB in the operating bandwidth. The development process of the proposed AiP is assisted by machine learning for prediction of the optimal radiating patch’s length and width in terms of resonance frequency.
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