Design Investigation of an X-Band SIW H-Plane Band Pass Filter with Improved Stop Band Using Neural Network Optimization
Year
: 2015
Abstract: In this paper, an X-band H-plane band pass filter based on substrate integrated waveguide (SIW)
technology is introduced. Back propagation neural network (BPNN) method is applied to optimize parameters of the proposed filter. The stop band of the proposed filter is improved by cascading the H-plane filter with a low pass filter designed and implemented using defected ground structure (DGS). A prototype of the proposed filter is made and experimental results are presented and also compared with those obtained by simulation. Measured reflection coefficient and transmission coefficient in pass band are better than -20 dB and -3.7 dB respectively. Measured results agree well with those obtained by simulation.
technology is introduced. Back propagation neural network (BPNN) method is applied to optimize parameters of the proposed filter. The stop band of the proposed filter is improved by cascading the H-plane filter with a low pass filter designed and implemented using defected ground structure (DGS). A prototype of the proposed filter is made and experimental results are presented and also compared with those obtained by simulation. Measured reflection coefficient and transmission coefficient in pass band are better than -20 dB and -3.7 dB respectively. Measured results agree well with those obtained by simulation.
Keyword(s): Band pass filter,neural network,Substrate Integrated Waveguide (SIW)
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Design Investigation of an X-Band SIW H-Plane Band Pass Filter with Improved Stop Band Using Neural Network Optimization
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| contributor author | زهراسادات طباطباییان | en |
| contributor author | محمدحسن نشاطی | en |
| contributor author | Zahra Sadat Tabatabaeian | fa |
| contributor author | Mohammad Hassan Neshati | fa |
| date accessioned | 2020-06-06T13:25:27Z | |
| date available | 2020-06-06T13:25:27Z | |
| date issued | 2015 | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/3354267?locale-attribute=en | |
| description abstract | In this paper, an X-band H-plane band pass filter based on substrate integrated waveguide (SIW) technology is introduced. Back propagation neural network (BPNN) method is applied to optimize parameters of the proposed filter. The stop band of the proposed filter is improved by cascading the H-plane filter with a low pass filter designed and implemented using defected ground structure (DGS). A prototype of the proposed filter is made and experimental results are presented and also compared with those obtained by simulation. Measured reflection coefficient and transmission coefficient in pass band are better than -20 dB and -3.7 dB respectively. Measured results agree well with those obtained by simulation. | en |
| language | English | |
| title | Design Investigation of an X-Band SIW H-Plane Band Pass Filter with Improved Stop Band Using Neural Network Optimization | en |
| type | Journal Paper | |
| contenttype | External Fulltext | |
| subject keywords | Band pass filter | en |
| subject keywords | neural network | en |
| subject keywords | Substrate Integrated Waveguide (SIW) | en |
| journal title | Applied Computational Electromagnetics Society Journal | fa |
| pages | 1083-1088 | |
| journal volume | 30 | |
| journal issue | 10 | |
| identifier link | https://profdoc.um.ac.ir/paper-abstract-1049335.html | |
| identifier articleid | 1049335 |