Modeling of microstrip filter with defected ground structures using ANN

Arjun Kumar; Pravin R. Prajapati; Jagannath Malik; M. V. Kartikeyan

doi:10.1109/ICIINFS.2016.8263006

Modeling of microstrip filter with defected ground structures using ANN

Arjun Kumar, Pravin R. Prajapati, Jagannath Malik, M. V. Kartikeyan

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	11th International Conference on Industrial and Information Systems, ICIIS 2016 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	582-588
Number of pages	7
ISBN (Electronic)	9781509038183
DOIs	https://doi.org/10.1109/ICIINFS.2016.8263006
Publication status	Published - 1 Jul 2016
Externally published	Yes
Event	11th International Conference on Industrial and Information Systems, ICIIS 2016 - Roorkee, Uttarakhand, India Duration: 3 Dec 2016 → 4 Dec 2016

Publication series

Name	11th International Conference on Industrial and Information Systems, ICIIS 2016 - Conference Proceedings
Volume	2018-January

Conference

Conference	11th International Conference on Industrial and Information Systems, ICIIS 2016
Country/Territory	India
City	Roorkee, Uttarakhand
Period	3/12/16 → 4/12/16

Keywords

artificial neural network (ANN)
defected ground structure (DGS)
microstrip filter
modeling

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10.1109/ICIINFS.2016.8263006

Cite this

Kumar, A., Prajapati, P. R., Malik, J., & Kartikeyan, M. V. (2016). Modeling of microstrip filter with defected ground structures using ANN. In 11th International Conference on Industrial and Information Systems, ICIIS 2016 - Conference Proceedings (pp. 582-588). (11th International Conference on Industrial and Information Systems, ICIIS 2016 - Conference Proceedings; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIINFS.2016.8263006

Kumar, Arjun ; Prajapati, Pravin R. ; Malik, Jagannath et al. / Modeling of microstrip filter with defected ground structures using ANN. 11th International Conference on Industrial and Information Systems, ICIIS 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 582-588 (11th International Conference on Industrial and Information Systems, ICIIS 2016 - Conference Proceedings).

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title = "Modeling of microstrip filter with defected ground structures using ANN",

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.",

keywords = "artificial neural network (ANN), defected ground structure (DGS), microstrip filter, modeling",

author = "Arjun Kumar and Prajapati, {Pravin R.} and Jagannath Malik and Kartikeyan, {M. V.}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 11th International Conference on Industrial and Information Systems, ICIIS 2016 ; Conference date: 03-12-2016 Through 04-12-2016",

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doi = "10.1109/ICIINFS.2016.8263006",

language = "English",

series = "11th International Conference on Industrial and Information Systems, ICIIS 2016 - Conference Proceedings",

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Kumar, A, Prajapati, PR, Malik, J & Kartikeyan, MV 2016, Modeling of microstrip filter with defected ground structures using ANN. in 11th International Conference on Industrial and Information Systems, ICIIS 2016 - Conference Proceedings. 11th International Conference on Industrial and Information Systems, ICIIS 2016 - Conference Proceedings, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 582-588, 11th International Conference on Industrial and Information Systems, ICIIS 2016, Roorkee, Uttarakhand, India, 3/12/16. https://doi.org/10.1109/ICIINFS.2016.8263006

Modeling of microstrip filter with defected ground structures using ANN. / Kumar, Arjun; Prajapati, Pravin R.; Malik, Jagannath et al.
11th International Conference on Industrial and Information Systems, ICIIS 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 582-588 (11th International Conference on Industrial and Information Systems, ICIIS 2016 - Conference Proceedings; Vol. 2018-January).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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T1 - Modeling of microstrip filter with defected ground structures using ANN

AU - Kumar, Arjun

AU - Prajapati, Pravin R.

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N2 - 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.

AB - 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.

KW - artificial neural network (ANN)

KW - defected ground structure (DGS)

KW - microstrip filter

KW - modeling

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BT - 11th International Conference on Industrial and Information Systems, ICIIS 2016 - Conference Proceedings

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Kumar A, Prajapati PR, Malik J, Kartikeyan MV. Modeling of microstrip filter with defected ground structures using ANN. In 11th International Conference on Industrial and Information Systems, ICIIS 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 582-588. (11th International Conference on Industrial and Information Systems, ICIIS 2016 - Conference Proceedings). doi: 10.1109/ICIINFS.2016.8263006

Modeling of microstrip filter with defected ground structures using ANN

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