• DocumentCode
    3580458
  • Title

    Modified U-Slot Microstrip Patch Antenna with Gain Enhancement

  • Author

    Panusa, Swaraj ; Kumar, Mithilesh

  • Author_Institution
    Dept. of ECE (UCE), RTU, Kota, India
  • fYear
    2014
  • Firstpage
    83
  • Lastpage
    86
  • Abstract
    Micro strip patch antennas are strong candidates for use in many wireless communications applications. In this paper, the design, optimization and simulation of a dual-band modified U-slot micro strip patch antenna for WiMAX/WLAN application is presented. It operates on 2.45-2.57 GHz and 5.1-5.4 GHz bands. Radiating patch lies on the Rogers RT/duroid 5880 substrate which is having low dielectric constant of 2.2. Coaxial feeding technique is used to feed the antenna with 50 ohm impedance. This proposed antenna enhances the return loss of -19.5 dB at the 2.5 GHz and -30 dB at 5.27 GHz frequencies. Computer simulated results showing the VSWR value lesser than 2 at the 2.45-2.57 GHz and 5.1-5.4 GHz frequency range of WLAN standards. It exhibits maximum gain of 6.15 dB at 2.5 GHz and 9.1 dB at 5.27 GHz.
  • Keywords
    UHF antennas; WiMax; antenna feeds; antenna radiation patterns; microstrip antennas; multifrequency antennas; permittivity; slot antennas; substrate integrated waveguides; wireless LAN; Rogers RT-duroid 5880 substrate; VSWR value; WLAN application; WiMax application; antenna coaxial feeding technique; dual-band modified U-slot microstrip patch antenna optimization; dual-band modified U-slot microstrip patch antenna simulation; dual-band modified U-slot radiating microstrip patch antenna design; frequency 2.45 GHz to 2.57 GHz; frequency 5.1 GHz to 5.4 GHz; gain 6.15 dB; gain 9.1 dB; gain enhancement; loss 19.5 dB; loss 30 dB; low dielectric constant; wireless communications applications; Antenna radiation patterns; Microstrip; Microstrip antennas; Patch antennas; WiMAX; Wireless LAN; Microstrip Slot antenna; Radiation pattern; VSWR; WLAN; WiMAX;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6928-9
  • Type

    conf

  • DOI
    10.1109/CICN.2014.30
  • Filename
    7065449