Application of Neural Networks to Spurious Mode Modeling in the Design of Multiplexing Networks

被引：0

作者：

Li, Shuqi ^{[1
,2
]}

Wang, Ying ^{[1
]}

Jesuthasan, Jude A. S. ^{[1
]}

Yu, Ming ^{[2
]}

机构：

[1] Univ Ontario, Inst Technol, Dept Elect Comp & Software Engn, 2000 Simcoe St North, Oshawa, ON L1H 7K4, Canada

[2] COM DEV Ltd, Cambridge, ON N1R 7H6, Canada

来源：

2013 IEEE INTERNATIONAL WIRELESS SYMPOSIUM (IWS) | 2013年

关键词：

Computer aided design; multiplexing network; multiplexer design; neural networks; spurious mode;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A method of modeling spurious mode for microwave multiplexer design is presented. It is proved that the channel filter can be simplified to have the minimum structural features, yet still capable of modeling the effect of spurious mode accurately, which facilitates the application of neural networks in the multiplexer design. Model simplification and neural model development are detailed. The method enables fast and accurate simulation of the spurious mode over wide frequency range. Excellent agreements are observed between the results obtained from EM simulations and from the developed models.

引用

页数：4

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