• DocumentCode
    13093
  • Title

    Low complexity PARAFAC-based channel estimation for non-regenerative MIMO relay systems

  • Author

    Jianhe Du ; Chaowei Yuan ; Jinbo Zhang

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
  • Volume
    8
  • Issue
    12
  • fYear
    2014
  • fDate
    August 14 2014
  • Firstpage
    2193
  • Lastpage
    2199
  • Abstract
    In this study, the authors present a novel channel estimation scheme for a two-hop non-regenerative multiple-input multiple-output relay system. The proposed scheme has two stages. In the first stage, the source node transmits channel training sequence to the relay node. The relay node amplifies the received signal and forwards it to the destination node. During the second stage, the relay node amplifies the pre-received signal with another amplification matrix, and forwards it to the destination node. Based on the proposed scheme, by using parallel factor (PARAFAC) analysis, they further propose a low complexity channel estimation algorithm, where full knowledge of all channel matrices involved in the communication can be estimated at the destination node. Compared with existing algorithms, the proposed algorithm yields smaller channel estimation error with lower complexity. Numerical examples are shown to demonstrate the effectiveness of the low complexity PARAFAC-based channel estimation algorithm.
  • Keywords
    MIMO communication; channel estimation; matrix algebra; relay networks (telecommunication); statistical analysis; amplification matrix; channel matrices; channel training sequence; destination node; low complexity PARAFAC-based channel estimation scheme; nonregenerative MIMO relay systems; parallel factor analysis; received signal; relay node; source node; two-hop nonregenerative multiple-input multiple-output relay system;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com.2013.1155
  • Filename
    6871482