A Design of Dual-stop Band DGS Filter Based on ANN

被引：0

作者：

Qi Xiaofei ^{[1
]}

Wu Xianliang ^{[1
]}

机构：

[1] Anhui Univ, Sch Elect Sci & Technol, Hefei 230039, Peoples R China

来源：

2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31 | 2008年

关键词：

defected ground structure; dual-stop band; artificial neural network; center frequency;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

A novel dual-stop band defected ground structure (DGS) is proposed, its transmission parameter could be controlled by adjusting of structure parameter. But due to the need of design precision, it is not easy to realize by software. The DGS is modeled by artificial neural network (ANN). Through this method, the needed parameter could be searched from the trained result by ANN. In this way, we can adjust the two stop band simultaneity. It will save more time, and heighten the precision. We receive satisfying result from the HFSS simulating. It proves the feasibility of ANN in DGS design.

引用

页码：2327 / 2329

页数：3

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