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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
    Country/TerritoryIndia
    CityMysore
    Period08-09-1709-09-17

    All Science Journal Classification (ASJC) codes

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

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