• DocumentCode
    1378797
  • Title

    An Improved Square-Root Algorithm for V-BLAST Based on Efficient Inverse Cholesky Factorization

  • Author

    Zhu, Hufei ; Chen, Wen ; Li, Bin ; Gao, Feifei

  • Author_Institution
    Huawei Technol. Co., Ltd., Shenzhen, China
  • Volume
    10
  • Issue
    1
  • fYear
    2011
  • fDate
    1/1/2011 12:00:00 AM
  • Firstpage
    43
  • Lastpage
    48
  • Abstract
    A fast algorithm for inverse Cholesky factorization is proposed, to compute a triangular square-root of the estimation error covariance matrix for Vertical Bell Laboratories Layered Space-Time architecture (V-BLAST). It is then applied to propose an improved square-root algorithm for V-BLAST, which speedups several steps in the previous one, and can offer further computational savings in MIMO Orthogonal Frequency Division Multiplexing (OFDM) systems. Compared to the conventional inverse Cholesky factorization, the proposed one avoids the back substitution (of the Cholesky factor), and then requires only half divisions. The proposed V-BLAST algorithm is faster than the existing efficient V-BLAST algorithms. The expected speedups of the proposed square-root V-BLAST algorithm over the previous one and the fastest known recursive V-BLAST algorithm are 3.9 ~ 5.2 and 1.05 ~ 1.4, respectively.
  • Keywords
    MIMO communication; OFDM modulation; covariance matrices; matrix decomposition; MIMO orthogonal frequency division multiplexing; V-BLAST; Vertical Bell Laboratories layered space-time architecture; estimation error covariance matrix; inverse Cholesky factorization; square-root algorithm; Algorithm design and analysis; Antennas; Complexity theory; MIMO; OFDM; Signal processing algorithms; Wireless communication; MIMO; V-BLAST; fast algorithm; inverse Cholesky factorization; square-root;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2010.110510.100555
  • Filename
    5635476