• DocumentCode
    2262002
  • Title

    A new method for small target detection over chaotic background

  • Author

    Xiaoyan, Max ; Xiaobin, Huang ; Feng, Wang ; Xiangdong, Xu

  • Author_Institution
    Air Force Radar Acad., Wuhan, China
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    341
  • Lastpage
    344
  • Abstract
    Based on the chaos of sea clutter, a nonlinear prediction method is used to transform the classic binary decision problem to the analysis of prediction error in radar target detection, and a fuzzy min-max neural network-based detection scheme is proposed. The simulation experiment results show that this method is effective even in very low signal to clutter ratio background
  • Keywords
    chaos; fuzzy neural nets; minimax techniques; prediction theory; radar clutter; radar computing; radar detection; binary decision problem; chaotic background; fuzzy min-max neural network-based detection; nonlinear prediction method; prediction error analysis; radar target detection; sea clutter chaos; signal to clutter ratio background; simulation experiment results; small target detection; Chaos; Computational modeling; Data mining; Logistics; Object detection; Prediction methods; Radar clutter; Radar detection; Signal analysis; Signal detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar, 2001 CIE International Conference on, Proceedings
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-7000-7
  • Type

    conf

  • DOI
    10.1109/ICR.2001.984689
  • Filename
    984689