Scholarlink

<p>This paper proposes a method for simulating surface acoustic wake (SAW) filters using user-defined components. The custom component uses the Coupling of Modes (COM) formulation, which is known to be the most effective method for SAW analysis. The paper briefly describes the COM used in the custom component and presents a method for extracting the COM parameters. Eight user-defined components implemented for simulating SAW filters are presented, and finally the proposed method is validated by comparing the results of simulated and fabricated SAW filters using the user-defined com-ponents. The two results show very good agreement with an insertion loss difference of ±0.2&#xa0;dB. The proposed method is very intuitive to use due to the tools used and allows flexible simulation of different structures. In addition, the optimization algorithms built into the tools used allow for efficient filter design.</p>

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

Efficient Design Technique of Surface Acoustic Wave (SAW) Filters Utilizing User-Defined Components with Commercial Software

  • 期刊论文

  • 发表日期：

    2025年5月16日

查看全文
  • Jiwon Kim,
  • Youna Jang,
  • Dal Ahn

摘要

This paper proposes a method for simulating surface acoustic wake (SAW) filters using user-defined components. The custom component uses the Coupling of Modes (COM) formulation, which is known to be the most effective method for SAW analysis. The paper briefly describes the COM used in the custom component and presents a method for extracting the COM parameters. Eight user-defined components implemented for simulating SAW filters are presented, and finally the proposed method is validated by comparing the results of simulated and fabricated SAW filters using the user-defined com-ponents. The two results show very good agreement with an insertion loss difference of ±0.2 dB. The proposed method is very intuitive to use due to the tools used and allows flexible simulation of different structures. In addition, the optimization algorithms built into the tools used allow for efficient filter design.