• DocumentCode
    1929216
  • Title

    OFDM system identification using pilot tone signature

  • Author

    Oularbi, Mohamed-Rabie ; Gazor, Saeed ; Houcke, Sebastien ; Aïssa-El-Bey, Abdeldjalil

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Queen´´s Univ., Kingston, ON, Canada
  • fYear
    2011
  • fDate
    9-11 May 2011
  • Firstpage
    95
  • Lastpage
    98
  • Abstract
    This paper deals with the challenge of OFDM system identification. In a recent paper [1], we developed a Generalized Likelihood Ratio Test approach that exploits only the pilot positions to detect the presence of a given system. In this paper, we propose to exploit the redundancy often induced between the pilot symbols as a side information to improve the detector performance. Computer simulations show that the proposed algorithm outperforms the first proposed method and the existing techniques in the literature. More than system detection, the proposed algorithm performs channel estimation as well as estimation of the noise variance and is computationally inexpensive.
  • Keywords
    OFDM modulation; channel estimation; computational complexity; maximum likelihood estimation; redundancy; signal detection; OFDM system identification; channel estimation; computationally inexpensive; generalized likelihood ratio test approach; noise variance estimation; pilot positions; pilot symbols; pilot tone signature; redundancy; system detection; Cognitive radio; Detectors; FCC; Indexes; OFDM; Signal to noise ratio; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signal Processing and their Applications (WOSSPA), 2011 7th International Workshop on
  • Conference_Location
    Tipaza
  • Print_ISBN
    978-1-4577-0689-9
  • Type

    conf

  • DOI
    10.1109/WOSSPA.2011.5931422
  • Filename
    5931422