• DocumentCode
    299404
  • Title

    Automatic target recognition based on incoherent radar returns

  • Author

    Qiang, Fu ; Wenxian, Yu

  • Author_Institution
    Dept. of Electr. Eng., Nat. Univ. of Defense Tech., Hunan, China
  • Volume
    1
  • fYear
    1995
  • fDate
    22-26 May 1995
  • Firstpage
    123
  • Abstract
    The problem of reliable automatic target recognition (ATR) from incoherent radar returns is discussed. In the problems under consideration, feature extraction methods are divided into two basic types: (1) Feature extraction directly based on time-domain description; (2) Feature extraction based on multiple transformation technique. In this paper, we shall demonstrate the problem of feature extraction by considering two examples of ship target recognition. The main algorithms and the recognition processing are discussed in detail. The experimental results show that a high reliability of recognition can be achieved
  • Keywords
    adaptive codes; adaptive radar; adaptive signal processing; feature extraction; inference mechanisms; knowledge engineering; radar detection; radar signal processing; radar target recognition; time-domain analysis; waveform analysis; Fourier transform; Mellin transform; adaptive feature compensation subfunction; algorithms; automatic target recognition; cardinality coding; clustering algorithm; feature extraction methods; feature selection; heuristic extraction; incoherent radar returns; intelligent recognition; multiple transformation technique; object space division; power difference coding; reasoning; recognition processing; reliable recognition; shape feature; ship target recognition; time-domain description; waveform cutting; Algorithm design and analysis; Data analysis; Data mining; Feature extraction; Image recognition; Marine vehicles; Radar; Radar signal processing; Shape; Target recognition; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace and Electronics Conference, 1995. NAECON 1995., Proceedings of the IEEE 1995 National
  • Conference_Location
    Dayton, OH
  • ISSN
    0547-3578
  • Print_ISBN
    0-7803-2666-0
  • Type

    conf

  • DOI
    10.1109/NAECON.1995.521924
  • Filename
    521924