Optimized Design and Analysis of Microstrip Antenna using Artificial Neural Network

Chetana Nayak, Pramod Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An Antenna is a device made of conducting material which transmits and receives electromagnetic signals. Antennas are widely used as device for transmission of signals. Microstrip antennas are gaining more importance due to their small and compact size, and wide band which yields in the reduction of material and applications are in cell phones, aircraft and satellite communications. In this paper a microstrip antenna with rectangular patch configuration is modeled with metal mounted over a large metal ground plane Its reduced size results in narrow bandwidth and the patch dimension parameter optimized. The optimization methods include cavity model, CST, and TL. In this paper, to reduce the percentage of error and to increase the efficiency of design, a model based on artificial neural network (ANN) is simulated and compared the results.

Original languageEnglish
Title of host publicationInternational Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages114-118
Number of pages5
ISBN (Print)9781538632420
DOIs
Publication statusPublished - 05-09-2018
Event3rd International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017 - Mysore, India
Duration: 08-09-201709-09-2017

Publication series

NameInternational Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017

Conference

Conference3rd International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017
CountryIndia
CityMysore
Period08-09-1709-09-17

Fingerprint

Microstrip antennas
Aircraft communication
Antennas
Neural networks
Metals
Satellites
Bandwidth

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Nayak, C., & Kumar, P. (2018). Optimized Design and Analysis of Microstrip Antenna using Artificial Neural Network. In International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017 (pp. 114-118). [8455084] (International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CTCEEC.2017.8455084
Nayak, Chetana ; Kumar, Pramod. / Optimized Design and Analysis of Microstrip Antenna using Artificial Neural Network. International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 114-118 (International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017).
@inproceedings{69ffc7bbdd7141e8aeb1350af1ebbd2b,
title = "Optimized Design and Analysis of Microstrip Antenna using Artificial Neural Network",
abstract = "An Antenna is a device made of conducting material which transmits and receives electromagnetic signals. Antennas are widely used as device for transmission of signals. Microstrip antennas are gaining more importance due to their small and compact size, and wide band which yields in the reduction of material and applications are in cell phones, aircraft and satellite communications. In this paper a microstrip antenna with rectangular patch configuration is modeled with metal mounted over a large metal ground plane Its reduced size results in narrow bandwidth and the patch dimension parameter optimized. The optimization methods include cavity model, CST, and TL. In this paper, to reduce the percentage of error and to increase the efficiency of design, a model based on artificial neural network (ANN) is simulated and compared the results.",
author = "Chetana Nayak and Pramod Kumar",
year = "2018",
month = "9",
day = "5",
doi = "10.1109/CTCEEC.2017.8455084",
language = "English",
isbn = "9781538632420",
series = "International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "114--118",
booktitle = "International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017",
address = "United States",

}

Nayak, C & Kumar, P 2018, Optimized Design and Analysis of Microstrip Antenna using Artificial Neural Network. in International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017., 8455084, International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017, Institute of Electrical and Electronics Engineers Inc., pp. 114-118, 3rd International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017, Mysore, India, 08-09-17. https://doi.org/10.1109/CTCEEC.2017.8455084

Optimized Design and Analysis of Microstrip Antenna using Artificial Neural Network. / Nayak, Chetana; Kumar, Pramod.

International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 114-118 8455084 (International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Optimized Design and Analysis of Microstrip Antenna using Artificial Neural Network

AU - Nayak, Chetana

AU - Kumar, Pramod

PY - 2018/9/5

Y1 - 2018/9/5

N2 - An Antenna is a device made of conducting material which transmits and receives electromagnetic signals. Antennas are widely used as device for transmission of signals. Microstrip antennas are gaining more importance due to their small and compact size, and wide band which yields in the reduction of material and applications are in cell phones, aircraft and satellite communications. In this paper a microstrip antenna with rectangular patch configuration is modeled with metal mounted over a large metal ground plane Its reduced size results in narrow bandwidth and the patch dimension parameter optimized. The optimization methods include cavity model, CST, and TL. In this paper, to reduce the percentage of error and to increase the efficiency of design, a model based on artificial neural network (ANN) is simulated and compared the results.

AB - An Antenna is a device made of conducting material which transmits and receives electromagnetic signals. Antennas are widely used as device for transmission of signals. Microstrip antennas are gaining more importance due to their small and compact size, and wide band which yields in the reduction of material and applications are in cell phones, aircraft and satellite communications. In this paper a microstrip antenna with rectangular patch configuration is modeled with metal mounted over a large metal ground plane Its reduced size results in narrow bandwidth and the patch dimension parameter optimized. The optimization methods include cavity model, CST, and TL. In this paper, to reduce the percentage of error and to increase the efficiency of design, a model based on artificial neural network (ANN) is simulated and compared the results.

UR - http://www.scopus.com/inward/record.url?scp=85054079221&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85054079221&partnerID=8YFLogxK

U2 - 10.1109/CTCEEC.2017.8455084

DO - 10.1109/CTCEEC.2017.8455084

M3 - Conference contribution

SN - 9781538632420

T3 - International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017

SP - 114

EP - 118

BT - International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Nayak C, Kumar P. Optimized Design and Analysis of Microstrip Antenna using Artificial Neural Network. In International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017. Institute of Electrical and Electronics Engineers Inc. 2018. p. 114-118. 8455084. (International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017). https://doi.org/10.1109/CTCEEC.2017.8455084