• DocumentCode
    87438
  • Title

    Electrically Small UAV Antenna Design Using Characteristic Modes

  • Author

    Yikai Chen ; Chao-Fu Wang

  • Author_Institution
    Temasek Labs., Nat. Univ. of Singapore, Singapore, Singapore
  • Volume
    62
  • Issue
    2
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    535
  • Lastpage
    545
  • Abstract
    This paper presents a novel concept of antenna design for an electrically small unmanned aerial vehicle (UAV) using the theory of characteristic modes. With the knowledge of the characteristic modes of the UAV body, a multi-objective evolutionary algorithm is implemented to synthesize currents on the UAV body for achieving desired power patterns. Compact and low-profile feed structures are then designed to excite the synthesized currents. The feed structures are termed as probes, as they are used to excite the currents on the UAV body and cannot work as standalone antennas. The UAV body excited by these probes serves as the radiating aperture. Its reconfigurable radiation patterns are obtained by feeding each probe with proper magnitude and phase. In this method, the aperture of the UAV body is fully utilized. Practical issues associated with large antennas at low frequency band are eliminated. Knowledge for probe placement on such platform becomes more explicit. Simulated and measured results are presented to verify the design concept.
  • Keywords
    antenna feeds; antenna radiation patterns; autonomous aerial vehicles; evolutionary computation; mobile antennas; characteristic modes; electrically small UAV antenna design; low profile feed structures; multiobjective evolutionary algorithm; probe placement; radiating aperture; reconfigurable radiation patterns; unmanned aerial vehicle; Antenna radiation patterns; Eigenvalues and eigenfunctions; Linear programming; Optimization; Probes; Resonant frequency; Antenna placement; characteristic modes; electrically small UAV; structural antenna;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2013.2289999
  • Filename
    6658842