naa a22 4500 510791905 CHVBK 20180411083322.0 cr unu---uuuuu 180411e20130801xx s 000 0 eng 10.1007/s11277-012-0928-4 doi (NATIONALLICENCE)springer-10.1007/s11277-012-0928-4 Design of Novel Ultra-Wideband Bandpass Filter with High Selectivity and Wide Stop Band and Optimizing it with Neuro-Genetic Method [Elektronische Daten] [Sedigheh Alidoost, Changiz Ghobadi, Javad Nourinia, Golzar Eydi] This paper develops a novel ultra-wideband bandpass filter with high selectivity, deep stop band and compact size. By linking a broadband bandstop filter at two sides with two feed lines via interdigital coupled lines with enhanced coupling degree, an initial ultra-wideband bandpass filter is created. In this filter, all undesired pass bands are rejected by broadband bandstop filter embedded in middle of ultra-wideband filter. Then, stepped impedance open stubs are used for realizing transmission zeros in pass band edges to increase selectivity. Finally, a neuro-genetic method is applied for optimizing of proposed ultra-wideband bandpass filter. For this task, first a nonlinear relation is established between the input (layout parameters) and output (electrical responses) data by using neural network. Then, genetic algorithm is used in conjunction with neural network model for optimizing the ultra-wideband bandpass filter parameters. The designed filter was fabricated and measured that showed good characteristics including deep stop band and very high pass band selectivity. Springer Science+Business Media New York, 2012 UWB bandpass filter nationallicence High selectivity nationallicence Optimization nationallicence Neuro-genetic method nationallicence Stepped impedance open stub nationallicence UWB : Ultra-wideband nationallicence EM : Electromagnetic nationallicence GAs : Genetic algorithms nationallicence FBW : Fractional bandwidth nationallicence Alidoost Sedigheh Electrical Engineering Department, Urmia University, P.O.Box: 165, 57153, Urmia, Iran aut Ghobadi Changiz Electrical Engineering Department, Urmia University, P.O.Box: 165, 57153, Urmia, Iran aut Nourinia Javad Electrical Engineering Department, Urmia University, P.O.Box: 165, 57153, Urmia, Iran aut Eydi Golzar Electrical Engineering Department, Urmia University, P.O.Box: 165, 57153, Urmia, Iran aut Wireless Personal Communications Springer US; http://www.springer-ny.com 71/3(2013-08-01), 2147-2160 0929-6212 71:3<2147 2013 71 11277 https://doi.org/10.1007/s11277-012-0928-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-012-0928-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Alidoost Sedigheh Electrical Engineering Department, Urmia University, P.O.Box: 165, 57153, Urmia, Iran aut NATIONALLICENCE 700 1- Ghobadi Changiz Electrical Engineering Department, Urmia University, P.O.Box: 165, 57153, Urmia, Iran aut NATIONALLICENCE 700 1- Nourinia Javad Electrical Engineering Department, Urmia University, P.O.Box: 165, 57153, Urmia, Iran aut NATIONALLICENCE 700 1- Eydi Golzar Electrical Engineering Department, Urmia University, P.O.Box: 165, 57153, Urmia, Iran aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 71/3(2013-08-01), 2147-2160 0929-6212 71:3<2147 2013 71 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer