Determination of Lumped Element Package Model for Radio Frequency Surface Acoustic Wave Device Using Neural Network Techniques

S.T. Wang, Zhi-Feng Xie, Tzu-Te Liu, R. Hwang
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Abstract

Electronic packaging has a significant influence on RF surface acoustic wave (SAW) device. Hence, how to incorporate packaging effects into SAW simulation is an important issue. In this paper, neural network was employed to determine the lumped element models of bonding pads. As an example, an RF SAW filter used in GPS system was examined. The result showed a good agreement with that obtained from full wave EM simulator.
用神经网络技术确定射频表面声波器件集总元件封装模型
电子封装对射频表面声波(SAW)器件的性能有重要影响。因此,如何将封装效应纳入声表面波仿真是一个重要的问题。本文采用神经网络方法确定了键合垫的集总单元模型。以射频声波滤波器为例,对其在GPS系统中的应用进行了研究。仿真结果与全波仿真结果吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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