Scholarlink

This chapter demonstrates the design and analysis of a high-performance antenna operating in the range of 26.14–28.30 GHz with a resultant operating frequency centered at 27.04 GHz. The structure is constructed using Rogers RT5880 as the substrate material, while the patch and ground plane are made of perfect electric conductor. The stipulated antenna achieves a gain value of 5.083 dBi and an efficiency of 97.6% at the resonant frequency, ensuring high radiation efficiency. Additionally, the design demonstrates stable radiation patterns, making it well applicable for millimeter-wave regions, including 5G communication and radars. Implementing high-quality materials and precise design parameters produces optimal performance across the target frequency range, contributing to reliable and efficient communication. The optimization of antenna parameters, including S11 and VSWR, was executed using machine learning algorithms to fine-tune the design for enhanced performance.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Advanced Fractal Antenna Structure Design and Optimization for mm-Wave 5G Spectrum Using Machine Learning Algorithms

  • 章节

  • 发表日期：

    2025年

查看全文
  • K. Vasu Babu,
  • Gorre Naga Jyothi Sree,
  • R. Anandan,
  • R. Narmadha,
  • Bhuma Anuradha,
  • Sudipta Das

摘要

This chapter demonstrates the design and analysis of a high-performance antenna operating in the range of 26.14–28.30 GHz with a resultant operating frequency centered at 27.04 GHz. The structure is constructed using Rogers RT5880 as the substrate material, while the patch and ground plane are made of perfect electric conductor. The stipulated antenna achieves a gain value of 5.083 dBi and an efficiency of 97.6% at the resonant frequency, ensuring high radiation efficiency. Additionally, the design demonstrates stable radiation patterns, making it well applicable for millimeter-wave regions, including 5G communication and radars. Implementing high-quality materials and precise design parameters produces optimal performance across the target frequency range, contributing to reliable and efficient communication. The optimization of antenna parameters, including S11 and VSWR, was executed using machine learning algorithms to fine-tune the design for enhanced performance.