• DocumentCode
    2976590
  • Title

    Blind Crosstalk Channel Estimation for Multi-User Digital Subscriber Lines

  • Author

    Da-wei Le ; You-Ming Li

  • Author_Institution
    Inst. of Commun. Technol., Ningbo Univ., Ningbo, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Abstract-This paper presents a blind method for estimating both the insertion loss and crosstalk channel in multi-user Digital Subscriber Line (DSL) systems. Based on cyclostationary properties of Discrete Multi-tone (DMT) signal, we select appropriate cyclic suffix length of DMT signal in the transmitter side such that the receiver reserves the insertion loss channel information of the discussed line and crosstalk channels information from other lines on the chosen tone, while the insertion loss channel effects from other lines and the crosstalk effect on the current line from other users on the chosen tone are all zeros. Then the insertion loss and crosstalk channels can respectively be estimated from received data on each line. Computer simulation results based on real measured data verify that the proposed method can estimate both the insertion loss and crosstalk channels. Furthermore, compared to the previous works, the new method has lower estimation errors and is easy to be implemented.
  • Keywords
    channel estimation; crosstalk; digital subscriber lines; DSL systems; blind crosstalk channel estimation; blind method; cyclic suffix length; cyclostationary properties; discrete multitone signal; insertion loss channel effects; insertion loss channel information; multiuser digital subscriber lines; Channel estimation; Correlation; Crosstalk; DSL; Insertion loss; Loss measurement; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2010 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4244-7871-2
  • Type

    conf

  • DOI
    10.1109/ICMULT.2010.5629697
  • Filename
    5629697