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contributor authorزهراسادات طباطباییانen
contributor authorمحمدحسن نشاطیen
contributor authorZahra Sadat Tabatabaeianfa
contributor authorMohammad Hassan Neshatifa
date accessioned2020-06-06T13:25:27Z
date available2020-06-06T13:25:27Z
date issued2015
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/3354267?show=full
description abstractIn 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
languageEnglish
titleDesign Investigation of an X-Band SIW H-Plane Band Pass Filter with Improved Stop Band Using Neural Network Optimizationen
typeJournal Paper
contenttypeExternal Fulltext
subject keywordsBand pass filteren
subject keywordsneural networken
subject keywordsSubstrate Integrated Waveguide (SIW)en
journal titleApplied Computational Electromagnetics Society Journalfa
pages1083-1088
journal volume30
journal issue10
identifier linkhttps://profdoc.um.ac.ir/paper-abstract-1049335.html
identifier articleid1049335


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