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
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;
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
DOI :
10.1109/WiCom.2008.561
