• DocumentCode
    2632737
  • Title

    Semi-Blind Source Separation for Memoryless Volterra Channels in UWB and its Uniqueness

  • Author

    Petrochilos, Nicolas ; Witrisal, Klaus

  • Author_Institution
    CReSTIC, Reims Univ.
  • fYear
    2006
  • fDate
    12-14 July 2006
  • Firstpage
    566
  • Lastpage
    570
  • Abstract
    We study in this article the output of an autocorrelation receiver for a delay-hopped transmitted-reference ultra-wideband (UWB) communications systems with multiple access. Next to a linear multi-input multi-output (MIMO) channel, this receiver generates quadratic channels consisting of cross-product between original sources. Hence the received signal is the output of a multi-user (MU) MIMO Volterra channel, which can be ensured to be memoryless. We propose a novel blind algorithm to perform source separation and a semi-blind version of it. After demonstrating its effectiveness, we discuss the uniqueness problem for linear-quadratic channels with binary input
  • Keywords
    MIMO systems; blind source separation; matrix algebra; multiuser channels; radio receivers; ultra wideband communication; MIMO channel; UWB communications systems; autocorrelation receiver; delay-hopped transmitted-reference ultra-wideband; linear multiinput multioutput; linear-quadratic channels; memoryless Volterra channels; multiuser channels; semi-blind source separation; Autocorrelation; Blind source separation; Data models; Delay; MIMO; Phase estimation; Sampling methods; Source separation; Ultra wideband communication; Ultra wideband technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Array and Multichannel Processing, 2006. Fourth IEEE Workshop on
  • Conference_Location
    Waltham, MA
  • Print_ISBN
    1-4244-0308-1
  • Type

    conf

  • DOI
    10.1109/SAM.2006.1706197
  • Filename
    1706197