2002
DOI: 10.1002/mop.10422
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Microstrip filter design using FDTD and neural networks

Abstract: better than 15 dB over the same range. The simulated phase difference between the two outputs, 88.2°Ϯ 1.7°, changes from 86.6°to 89.9°within the same band. With the same software the comparison between the conventional coupler and the proposed one shows 63% area saving, 300-MHz bandwidth reduction of isolation and return loss, and 2°maximum decrease in phase difference between the two coupling arms over the same range. EXPERIMENTAL RESULTSThe coupler designed at 900 MHz in the previous section was fabricated o… Show more

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Cited by 13 publications
(7 citation statements)
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“…The generalization ability makes them applicable to RF microwave modeling field. ANNs have been widely applied in modeling of nonlinear microwave circuit analysis and optimization [14,15], microstrip circuit design [16], active and passive components' modeling [17][18][19][20][21][22][23][24]. The recent introduction of ANN to the microwave fields notes the birth of an unconventional alternative to modeling and design problems in microwave CAD [25].…”
Section: Ann Antenna Analysis-scattering Parameters Modelingmentioning
confidence: 99%
“…The generalization ability makes them applicable to RF microwave modeling field. ANNs have been widely applied in modeling of nonlinear microwave circuit analysis and optimization [14,15], microstrip circuit design [16], active and passive components' modeling [17][18][19][20][21][22][23][24]. The recent introduction of ANN to the microwave fields notes the birth of an unconventional alternative to modeling and design problems in microwave CAD [25].…”
Section: Ann Antenna Analysis-scattering Parameters Modelingmentioning
confidence: 99%
“…RF MEMS switches have been compared comprehensively with the semiconductor switches in [13] and they showed to be optimal for millimeter-wave applications. A bandpass filter [14][15][16][17] is always an important component in communication systems. In millimeter-wave systems, switchable bandpass filters are even more indispensable as they enable sharing of a single wideband antenna for multiple channel systems.…”
Section: Introductionmentioning
confidence: 99%
“…The neural network has been executed for microstrip passive component such as microstrip T‐Junction structure [7], microstrip filter [8], multilayered microwave shielded bandpass filters [9], stop band properties of Koch island patch elements for FSS filter design [10], and design and optimization of CPW component [11].…”
Section: Introductionmentioning
confidence: 99%