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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/16547
Title: Modeling of microstrip filter with defected ground structures using ANN
Authors: Kumar A.
Prajapati P.R.
Malik J.
Kartikeyan, Machavaram Venkata
Published in: Proceedings of 11th International Conference on Industrial and Information Systems, ICIIS 2016
Abstract: In this paper, artificial neural network (ANN) method is used for modeling of microstrip Alter with various defected ground structures (DGS). Modeling of DGS is the difficult part in designing of microstrip filter. By using ANN, the circuit modeling of microstrip filter becomes simple. This paper presents the modeling of five DGS geometries from simple to complex. These five DGS geometries (Square, C-shaped, L-shaped, U-shaped and complementary ring resonator) are used frequently in size reduction and performance enhancement of microstrip filter. For all design configurations 50Ω, λ/4 microstrip line is used. © 2016 IEEE.
Citation: Proceedings of 11th International Conference on Industrial and Information Systems, ICIIS 2016, (2016), 582- 588
URI: https://doi.org/10.1109/ICIINFS.2016.8263006
http://repository.iitr.ac.in/handle/123456789/16547
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: artificial neural network (ANN)
defected ground structure (DGS)
microstrip filter
modeling
ISBN: 9.78E+12
Author Scopus IDs: 55900119800
54403556900
53463705200
6603631347
Author Affiliations: Kumar, A., Intel Lab, Mexico
Prajapati, P.R., Department of Electronics and Communication Engg., A D Patel Institute of Technology, Gujarat, India
Malik, J., Department of Electronics and Communication Engg., IIT Roorkee, India
Kartikeyan, M.V., Department of Electronics and Communication Engg., IIT Roorkee, India
Appears in Collections:Conference Publications [ECE]

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