• DocumentCode
    3246067
  • Title

    Space-Time Spreading MIMO System Using Canonical Precoding Tensor Model

  • Author

    De Almeida, André L F ; Favier, Gérard ; Fernandes, Carlos A R ; Mota, João C M

  • Author_Institution
    UNSA, Nice
  • fYear
    2007
  • fDate
    4-7 Nov. 2007
  • Firstpage
    470
  • Lastpage
    474
  • Abstract
    We consider a multiple input multiple output (MIMO) antenna system based on Space-Time Spreading (STS), where multiple data streams are preceded across space and time dimensions using multiple spreading codes. We propose a canonical precoding structure based on a CONstrained FACtor (CONFAC) decomposition of a tensor. The precoder tensor is decomposed as a function of three canonical (constraint) matrices that define the allocation of data streams and spreading codes to transmit antennas. Different STS schemes can be derived with the proposed modeling framework by simply adjusting the canonical precoder structure. The uniqueness property of the CONFAC decomposition allows a blind joint detection/channel estimation with the knowledge or not of the spreading codes.
  • Keywords
    MIMO systems; blind source separation; channel estimation; matrix algebra; space-time codes; transmitting antennas; CONFAC decomposition; STS schemes; blind joint detection; canonical matrices; canonical precoding structure; canonical precoding tensor model; channel estimation; constrained factor decomposition; multiple data streams; multiple input multiple output antenna system; multiple spreading codes; space-time spreading MIMO system; transmit antennas; Channel estimation; Electronic mail; MIMO; Matrix decomposition; Multiaccess communication; Sociotechnical systems; Space technology; Tensile stress; Transmitting antennas; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2109-1
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2007.4487255
  • Filename
    4487255