• DocumentCode
    2036962
  • Title

    Distributed ODV-CFAR Detection Based on Fuzzy Logic

  • Author

    Hao, Chengpeng ; Cai, Long ; Chen, Mojiang

  • Author_Institution
    Inst. of Acoust., Chinese Acad. of Sci., Beijing
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A new type of distributed constant false alarm rate(CFAR) scheme based on fuzzy logic and Ordered Data Variability CFAR(ODV-CFAR) algorithm is proposed in this paper. In this scheme, each ODV-CFAR detector computes the membership function value mapping to the false alarm space from the samples of reference cells, and transmits it to the fusion center. These values are combined according to fuzzy fusion rules to produce a global membership function to the false alarm space. Simulation results indicate that the fuzzy fusion rule corresponding to the algebraic product operator provides better detection results than binary OR fusion and binary AND fusion.
  • Keywords
    fuzzy logic; signal detection; ODV-CFAR detection; constant false alarm rate scheme; fuzzy fusion rules; fuzzy logic; membership function; ordered data variability; Acoustic signal detection; Clutter; Detectors; Fuzzy logic; Fuzzy systems; Radar detection; Sensor systems; Sonar detection; Statistics; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5072836
  • Filename
    5072836