• DocumentCode
    1716007
  • Title

    Artificial Neural Network model for suspended equilateral triangular microstrip antennas

  • Author

    Deshmukh, Amit A. ; Venkata, A.P.C. ; Nagarbowdi, Shafin ; Kulkarni, Shivali D.

  • Author_Institution
    EXTC Dept., DJSCOE, Mumbai, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    An Artificial Neural Network model for suspended equilateral triangular Microstrip antenna on thicker air substrate over 700 to 6000 MHz frequency band is proposed. For the substrate thickness varying in the range of 0.02 to 0.1λ0, the resonance frequencies calculated using proposed model agrees closely with the simulated and measured results with % error less than 4% over the complete frequency range. Thus proposed model can be used to design equilateral triangular patch at any given frequency and on thicker substrate.
  • Keywords
    microstrip antennas; neural nets; artificial neural network model; equilateral triangular patch; resonance frequencies; substrate thickness; suspended equilateral triangular microstrip antennas; Artificial neural networks; Atmospheric modeling; Broadband antennas; Measurement uncertainty; Microstrip antennas; Resonant frequency; Substrates; Artificial Neural Network model; Equilateral triangular microstrip antenna; Resonance frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Information & Computing Technology (ICCICT), 2015 International Conference on
  • Conference_Location
    Mumbai
  • Print_ISBN
    978-1-4799-5521-3
  • Type

    conf

  • DOI
    10.1109/ICCICT.2015.7045663
  • Filename
    7045663