• DocumentCode
    2073188
  • Title

    Advanced optimization for subarray structure in electronic warfare environment

  • Author

    Yang Zhitao ; Hu Hang ; Wang Dan ; Qin Weicheng

  • Author_Institution
    Sch. of Electron. & Inf. Technol., Harbin Inst. of Technol., Harbin, China
  • fYear
    2013
  • fDate
    25-28 Aug. 2013
  • Firstpage
    30
  • Lastpage
    34
  • Abstract
    Advanced Genetic Algorithm (AGA) is an algorithm that could be beneficial to both the jammer suppression and subarray structure, which could obtain an array structure with relatively concentrated subarray structure and better jammer suppression. The structure of subarray level optimization is analyzed and the signal model is presented. Subarray level optimization could suppress jammer effectively; compared with conventional genetic algorithm at subarray level (only adaptive processing in jammer), better subarray structure gained and the cost of hardware could be reduced remarkably. Simulation results demonstrate the validity of the introduced approach.
  • Keywords
    genetic algorithms; interference suppression; jamming; phased array radar; advanced genetic algorithm; advanced optimization; electronic warfare environment; jammer suppression; phased array radar system; subarray level optimization; subarray structure; Antennas; Arrays; Genetic algorithms; Jamming; Mathematical model; Optimization; Radar; advanced genetic algorithm; jammer; optimization; phased array at subarray level;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Technology & Computational Electromagnetics (ICMTCE), 2013 IEEE International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ICMTCE.2013.6812462
  • Filename
    6812462