• DocumentCode
    1475404
  • Title

    Fractionally spaced equalization of linear polyphase channels and related blind techniques based on multichannel linear prediction

  • Author

    Papadias, Constantinos B. ; Slock, Dirk T M

  • Author_Institution
    Lucent Technol., AT&T Bell Labs., Holmdel, NJ, USA
  • Volume
    47
  • Issue
    3
  • fYear
    1999
  • fDate
    3/1/1999 12:00:00 AM
  • Firstpage
    641
  • Lastpage
    654
  • Abstract
    We consider the problem of linear equalization of polyphase channels and its blind implementation. These channels may result from oversampling the single output of a transmission channel or/and by receiving multiple outputs of an antenna array. A number of previous contributions in the field of blind channel identification have shown that polyphase channels can be blindly identified using only second-order statistics (SOS) of the output. In this work, we are mostly interested in the blind linear equalization of these channels. After some elaboration on the specifics of the equalization problem for polyphase channels, we show how optimal settings of various well-known types of linear equalization structures can be obtained blindly using only the output´s SOS by using multichannel linear prediction or related techniques
  • Keywords
    blind equalisers; identification; prediction theory; signal sampling; statistical analysis; telecommunication channels; MMSE; antenna array; blind channel identification; blind linear equalization; blind techniques; digital communications; fractionally spaced equalization; linear equalization; linear polyphase channels; multichannel linear prediction; multiple outputs; optimal settings; oversampling; second-order statistics; transmission channel; Additive noise; Additive white noise; Antenna arrays; Blind equalizers; Decision feedback equalizers; Digital communication; Digital modulation; Receiving antennas; Statistics; Transmitting antennas;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.747772
  • Filename
    747772