• DocumentCode
    1801455
  • Title

    Joint channel and data estimation for MIMO communications using sparse pilots

  • Author

    Yejian Chen ; ten Brink, Stephan

  • Author_Institution
    Bell Labs., Alcatel-Lucent, Stuttgart, Germany
  • fYear
    2012
  • fDate
    4-7 Nov. 2012
  • Firstpage
    1152
  • Lastpage
    1156
  • Abstract
    We present a joint channel and data estimation algorithm for communication across multiple antenna channels, and illustrate its performance by example of a 2 × 1 Alamouti Space-Time Code (STC) scheme as well as a 2 × 2 Spatial Multiplexing (SMX) scheme. The dedicated trellis tracking algorithm allows to estimate multiple channel coefficients in parallel while simultaneously performing a posteriori Probability (APP) detection of the transmitted bits. Link layer simulations show that the ergodic capacity can be gradually approached with incremental a priori knowledge, as stemming from an outer channel decoder, even in situations with very sparsely distributed pilot symbols, where conventional channel estimators would fail.
  • Keywords
    MIMO communication; antenna arrays; channel coding; channel estimation; codecs; space division multiplexing; space-time codes; Alamouti space-time code; MIMO communications; STC; a posteriori Probability; channel decoder; channel estimation; channel estimators; data estimation algorithm; ergodic capacity; link layer simulations; multiple antenna channels; sparse pilots; sparsely distributed pilot symbols; spatial multiplexing scheme;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4673-5050-1
  • Type

    conf

  • DOI
    10.1109/ACSSC.2012.6489201
  • Filename
    6489201