• DocumentCode
    2360431
  • Title

    Improved lattice reduction aided detection based on extended noise variance matrix for MIMO systems

  • Author

    Lee, Dong-Jin ; Kim, Ryun-Woo ; Byun, Youn-Shik

  • Author_Institution
    Univ. of InCheon, Incheon
  • fYear
    2007
  • fDate
    17-20 June 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Recently lattice-reduction (LR) has been used in signal detection for multiple-input multiple-output (MIMO) systems. The conventional LR aided detection schemes are combinations of LR and signal detection methods such as zero-forcing (ZF) and minimum mean square error (MMSE) detection. In this paper, we propose the LR aided scheme based on extended noise variance matrix in quantization step. Simulation results in a random MIMO system show that the proposed scheme exhibits improved performance and a slight increase in complexity.
  • Keywords
    MIMO communication; mean square error methods; signal detection; MIMO systems; extended noise variance matrix; lattice reduction; minimum mean square error; signal detection; zero forcing; Covariance matrix; Lattices; MIMO; Maximum likelihood detection; Mean square error methods; Noise reduction; Quantization; Receiving antennas; Signal detection; Transmitting antennas; Lattice-reduction; MIMO systems; maximum-likelihood detection; wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications, 2007. SPAWC 2007. IEEE 8th Workshop on
  • Conference_Location
    Helsinki
  • Print_ISBN
    978-1-4244-0955-6
  • Electronic_ISBN
    978-1-4244-0955-6
  • Type

    conf

  • DOI
    10.1109/SPAWC.2007.4401327
  • Filename
    4401327