• DocumentCode
    529636
  • Title

    Maximum likelihood estimation of target RCS in tracking

  • Author

    Jung, Young-Hun ; Hong, Sun-Mog ; Seo, Sang-Hong

  • Author_Institution
    Agency for Defense Dev., Daejeon, South Korea
  • fYear
    2010
  • fDate
    18-21 Aug. 2010
  • Firstpage
    3344
  • Lastpage
    3346
  • Abstract
    In this paper, a maximum likelihood (ML) approach is presented for estimating the average radar cross section (RCS), and a numerical solution to the approach is proposed based on a generalized expectation maximization (GEM) algorithm. Estimation accuracy of the approach is compared to that of a previously reported procedure.
  • Keywords
    expectation-maximisation algorithm; maximum likelihood estimation; radar cross-sections; radar tracking; target tracking; Maximum Likelihood Estimation; expectation maximization algorithm; radar cross section; target RCS; target tracking; Maximum likelihood detection; Maximum likelihood estimation; Radar cross section; Radar tracking; Signal to noise ratio; Target tracking; maximum likelihood estimation; radar cross section; radar tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference 2010, Proceedings of
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-7642-8
  • Type

    conf

  • Filename
    5602984
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=529636