• DocumentCode
    1754031
  • Title

    Optimizing Adaptive Linear Array Antenna Pattern Under Intensive Interference Environment Using Genetic Algorithm

  • Author

    Wang Jiancheng ; Qiu Hui ; Chen Jianming

  • Author_Institution
    Dept. of Equip. & Command, Acad. of Equip. Command & Technol., Beijing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    28-29 March 2011
  • Firstpage
    185
  • Lastpage
    187
  • Abstract
    Battlefield electromagnetic environment has become more and more complex under the background of information war. Strong interfering signals have seriously affected the quality of communication and reliability of information. To weaken or even eliminate the effect of the unwanted signal to the wanted one, genetic algorithm (GA) is utilized to optimize element current amplitudes in obtaining the needed radiation pattern of adaptive linear array antenna under intensive interference environment. Details on structure of the system, radiation pattern formulation, and application of the genetic algorithm are given, and simulation examples are also demonstrated to show the effectiveness of the GA approach. advantages are such that the optimized amplitudes can be directly used in the engineering without further discretization, and that the ratio of maximum amplitude to minimum one is moderate which makes it easy to feed the antenna.
  • Keywords
    adaptive antenna arrays; antenna feeds; antenna radiation patterns; genetic algorithms; interference suppression; linear antenna arrays; telecommunication network reliability; adaptive linear array antenna pattern; antenna feed; battlefield electromagnetic environment; communication quality; element current amplitude; genetic algorithm; information reliability; information war background; intensive interference environment; interfering signal; radiation pattern formulation; Adaptive arrays; Antenna radiation patterns; Arrays; Gallium; Genetic algorithms; Interference; Linear antenna arrays; amplitude perturbation; array antenna; electromagnetic environment; genetic algorithm; information war; interference; null steering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
  • Conference_Location
    Shenzhen, Guangdong
  • Print_ISBN
    978-1-61284-289-9
  • Type

    conf

  • DOI
    10.1109/ICICTA.2011.55
  • Filename
    5750587