• DocumentCode
    584678
  • Title

    A Fuzzy-Logic Based Non Cooperative Target Recognition

  • Author

    Boulay, T. ; Lagoutte, J. ; Mohammad-Djafari, A. ; Gac, Nicolas

  • Author_Institution
    Thales Air Syst., Limours, France
  • fYear
    2012
  • fDate
    25-29 Nov. 2012
  • Firstpage
    410
  • Lastpage
    415
  • Abstract
    In this paper, we present the problem of Non Cooperative Target Recognition (NCTR) as a supervised classification problem. After a brief presentation on the radar acquisition system of range profiles and the problem of recognition, we use a Fuzzy-Logic based algorithm to do this classification maximizing the recognition rate while controling the error rate. Unlike classical NCTR algorithms, this new algorithm allows to control error rate under a fixed value and maximize the recognition rate.
  • Keywords
    fuzzy logic; fuzzy set theory; pattern classification; radar target recognition; NCTR; classical NCTR algorithms; error rate control; fuzzy-logic based noncooperative target recognition; radar acquisition system; range profiles; supervised classification problem; Error analysis; Fuzzy logic; Radar cross section; Signal to noise ratio; Target recognition; Training; CLASSIFICATION; FUZZY LOGIC; HRR; KNN; NCTR; RADAR; RECOGNITION;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Image Technology and Internet Based Systems (SITIS), 2012 Eighth International Conference on
  • Conference_Location
    Naples
  • Print_ISBN
    978-1-4673-5152-2
  • Type

    conf

  • DOI
    10.1109/SITIS.2012.66
  • Filename
    6395124