• DocumentCode
    1697126
  • Title

    VLSI Implementation of a Lattice Reduction Algorithm for Low-Complexity Equalization

  • Author

    Gestner, Brian ; Zhang, Wei ; Ma, Xiaoli ; Anderson, David V.

  • Author_Institution
    Sch. of ECE, Georgia Inst. of Technol., Atlanta, GA
  • fYear
    2008
  • Firstpage
    643
  • Lastpage
    647
  • Abstract
    MIMO transmissions (e.g., V-BLAST) have been widely adopted for high-rate high-performance communication systems. When the maximum likelihood (ML) or near-ML detector is employed, full receiver diversity is collected for V-BLAST systems at the cost of high complexity. Conversely, linear equalizers and successive interference cancellation equalizers have much lower complexity, but these equalizers degrade performance due to the loss of diversity. Lattice reduction (LR) techniques have been introduced to restore the diversity of low- complexity equalizers. In this paper we describe the architecture and results of the first VLSI implementation of the CLLL LR algorithm.
  • Keywords
    MIMO communication; VLSI; diversity reception; equalisers; interference suppression; lattice theory; maximum likelihood detection; radio receivers; CLLL LR algorithm; MIMO transmission; V-BLAST system; VLSI implementation; full receiver diversity; interference cancellation equalizer; lattice reduction algorithm; low-complexity linear equalization; multiple-input multiple output system; near maximum likelihood detector; Costs; Degradation; Detectors; Equalizers; Interference cancellation; Lattices; MIMO; Maximum likelihood detection; Performance loss; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems for Communications, 2008. ICCSC 2008. 4th IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1707-0
  • Electronic_ISBN
    978-1-4244-1708-7
  • Type

    conf

  • DOI
    10.1109/ICCSC.2008.142
  • Filename
    4536834