• DocumentCode
    141766
  • Title

    A Software-Defined Intelligent Method for Antenna Design

  • Author

    Yuanyuan Fan ; Dajun Xiao ; Xu Mei ; Chao Liu ; Xuesong Yan ; Chengyu Hu

  • Author_Institution
    Sch. of Comput. Sci., China Univ. of Geosci., Wuhan, China
  • fYear
    2014
  • fDate
    24-27 Aug. 2014
  • Firstpage
    470
  • Lastpage
    474
  • Abstract
    The personalized and diverse demands of modern communication present new challenges to antenna design. While the emergence of Software-Defined Everything provides an innovative hardware design idea that hardware structure is modeled in a software way and designed with intelligence optimization algorithms. Inspired by the design idea, in this paper we propose a software-defined intelligent method for antenna design. The optimal variables are described with the software-defined antenna structure method, and the optimal target is determined with the software-defined antenna performance method. Based on the above the software-defined antenna model will be abstracted, which convert the work of antenna design to the optimal problem on antenna structure. Meanwhile considering the features of the long simulation and the intensive computation, an intelligent algorithm is proposed suitable for the intelligent design method. This software-defined intelligent method is applied to an antenna design example and several optimal antennas satisfying the requirements have been obtained. It demonstrates that automation and intelligentization in antenna design can be achieved with this innovative method.
  • Keywords
    antennas; optimisation; antenna design; innovative hardware design; intelligence optimization algorithms; software defined antenna structure method; software defined intelligent method; Algorithm design and analysis; Antennas; Design methodology; Mathematical model; Optimization; Software; Vectors; Antenna Design; Intelligent Optimization; Software-Defined;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable, Autonomic and Secure Computing (DASC), 2014 IEEE 12th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4799-5078-2
  • Type

    conf

  • DOI
    10.1109/DASC.2014.90
  • Filename
    6945735