• DocumentCode
    1576973
  • Title

    Code-algorithm association performances for coded radar system

  • Author

    Zaidouni, J. ; Rivenq, A. ; Niar, S. ; Rouvaen, J.M.

  • Author_Institution
    Inst. d´´Electron. et de Microelectron. du Nord, Univ. of Valenciennes, Valenciennes
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The coded anti-collision radar system is larger studied for safety applications. The problem of this sensor is the choice of coding and detection algorithm. The use it in automotive environment could make it necessary to have a large number of the used codes. This study looks for new codes available in a larger amount. In addition, to increase the radar detection performances, the new time delay estimators based on higher order statistics (HOS) can be used. The objective of this paper is to compare the all possible code-algorithm associations. The simulations results show that the Kasami codes associated to the CORR2 (correlation power two) algorithm is the best configuration for the coded radar.
  • Keywords
    adaptive control; automobiles; codes; correlation methods; delay estimation; higher order statistics; road vehicle radar; velocity control; CORR2; Kasami codes; automotive environment; code-algorithm association performances; coded anti-collision radar system; correlation power two algorithm; higher order statistics; time delay estimators; Automotive engineering; Delay effects; Delay estimation; Detection algorithms; Gaussian noise; Higher order statistics; Multiaccess communication; Radar detection; Signal processing algorithms; Signal to noise ratio; Higher Order Statistics; coded radar systems; correlation; pseudo-random codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on
  • Conference_Location
    Damascus
  • Print_ISBN
    978-1-4244-1751-3
  • Electronic_ISBN
    978-1-4244-1752-0
  • Type

    conf

  • DOI
    10.1109/ICTTA.2008.4530063
  • Filename
    4530063