• DocumentCode
    738538
  • Title

    Installed Radiation Pattern of Patch Antennas: Prediction based on a novel equivalent model.

  • Author

    Si-Ping Gao ; Binfang Wang ; Huapeng Zhao ; Wei-Jiang Zhao ; Ching Eng Png

  • Author_Institution
    Dept. of Electron. & Photonics, Inst. of High Performance Comput., Singapore, Singapore
  • Volume
    57
  • Issue
    3
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    81
  • Lastpage
    94
  • Abstract
    A simple but efficient equivalent model of patch antennas is proposed for predicting the radiation pattern of patch antennas on large platforms. The equivalent model is constructed based on the radiation mechanism of a patch antenna. Only three design parameters need to be optimized, making the model more computationally efficient than those equivalent dipole models for general problems. After the equivalent model is optimized with a differential evolution (DE) algorithm, it is further installed on a platform to compute installed radiation patterns. Simulation results show that the installed radiation patterns of both a single element and an array can be accurately predicted using the equivalent model, where the root-mean-square errors (RMSEs) are less than 0.94%. The proposed equivalent model method does not require detailed geometry information of the patch antennas. Furthermore, it avoids direct modeling of antenna structures, leading to a drastic reduction in computation and storage costs.
  • Keywords
    antenna radiation patterns; evolutionary computation; microstrip antennas; differential evolution algorithm; equivalent model; installed radiation pattern; patch antennas; root mean square error; Algorithm design and analysis; Antenna radiation patterns; Cavity resonators; Computational modeling; Dipole antennas; Patch antennas; Pattern recognition;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1045-9243
  • Type

    jour

  • DOI
    10.1109/MAP.2015.2437275
  • Filename
    7160698