DocumentCode
3434975
Title
A Design of Dual-Stop Band DGS Filter Based on ANN
Author
Qi Xiaofei ; Wu Xianliang
Author_Institution
Sch. of Electron. Sci. & Technol., Anhui Univ., Hefei
fYear
2008
fDate
12-14 Oct. 2008
Firstpage
1
Lastpage
3
Abstract
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 bands simultaneously. It will save more time, and heighten the precision. We receive satisfying results from the HFSS simulation. It proves the feasibility of ANN in DGS design.
Keywords
band-stop filters; circuit CAD; neural nets; artificial neural network; defected ground structure; dual-stop band DGS filter; structure parameter; transmission parameter; Artificial neural networks; Dielectric substrates; Filters; Frequency; Microwave circuits; Multi-layer neural network; Multilayer perceptrons; Neural networks; Photonic band gap; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-2107-7
Electronic_ISBN
978-1-4244-2108-4
Type
conf
DOI
10.1109/WiCom.2008.561
Filename
4678469
Link To Document