• DocumentCode
    175832
  • Title

    The application of adaptive genetic algorithms in single-resistant radar jamming

  • Author

    Pan Wei ; Liu Sili ; Dong Hongzhi

  • Author_Institution
    Electr. Detection Dept., Shenyang Artillery Acad., Shenyang, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    1322
  • Lastpage
    1327
  • Abstract
    This article uses the novelty and applicability of adaptive genetic algorithms for the development of advanced digital radio frequency memory jammer technology uses radar CFAR detection algorithm. As a major result, demonstrates how adaptive genetic algorithms can produce effective single-resistant interference. This is an important attribute when interference uncertain radar detection algorithms operate in real-world scenarios. Efficiency of energy efficiency of adaptive genetic algorithms jamming technology through more traditional noise technology.
  • Keywords
    digital radio; genetic algorithms; jamming; radar detection; radar interference; adaptive genetic algorithms; advanced digital radio frequency memory jammer technology; interference uncertain radar detection algorithms; noise technology; radar CFAR detection algorithm; single-resistant radar jamming; Arrays; Doppler radar; Genetic algorithms; Jamming; Noise; Radar cross-sections; RCS; adaptive genetic algorithm; single-resistant radar jamming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852371
  • Filename
    6852371