• DocumentCode
    698654
  • Title

    Approximate best linear unbiased channel estimation with CFAR detection for frequency selective sparse multipath channels with long delay spreads

  • Author

    Ozen, Serdar

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Izmir Inst. of Technol., Urla, Turkey
  • fYear
    2005
  • fDate
    4-8 Sept. 2005
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We provide a non-iterative channel impulse response (CIR) estimation algorithm for communication systems which utilize a periodically transmitted training sequence within a continuous stream of information symbols. The non-iterative channel estimate is an approximation to the Best Linear Unbiased Estimate (BLUE) of the CIR, achieving almost similar performance, with much lower complexity. We first provide a formulation of the received data and correlation processing with the adjacent symbol correlation taken into account, and we then present the connections of the correlation based CIR estimation scheme to the ordinary least squares CIR estimation, and the approximate BLUE CIR estimation. Simulation results are provided to demonstrate the performance of the novel algorithms for 8-VSB ATSC Digital TV system.
  • Keywords
    channel estimation; correlation methods; digital television; least squares approximations; multipath channels; 8-VSB ATSC digital TV system; CFAR detection; adjacent symbol correlation; approximate BLUE CIR estimation; best linear unbiased channel estimation; communication system; constant false alarm rate detection; frequency selective sparse multipath channel; least square CIR estimation; non-iterative channel impulse response estima- tion algorithm; Channel estimation; Correlation; Equations; Least squares approximations; Mathematical model; Noise; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2005 13th European
  • Conference_Location
    Antalya
  • Print_ISBN
    978-160-4238-21-1
  • Type

    conf

  • Filename
    7078246