• DocumentCode
    2168001
  • Title

    Efficient lattice-reduction-aided MMSE decision-feedback equalization

  • Author

    Fischer, Robert F H

  • Author_Institution
    Lehrstuhl für Informationsübertragung, Friedrich-Alexander-Universität Erlangen-Nürnberg, Cauerstraße 7/LIT, 91058, Germany
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    3404
  • Lastpage
    3407
  • Abstract
    Since optimum diversity behavior can be achieved, equalization based on lattice basis reduction is of special interest for transmission over MIMO channels. Although the per-symbol equalization complexity is very low, the initial calculation of the required matrices still imposes an enormous burden in arithmetic complexity. In this paper, we present an alternative strategy to calculate the lattice-reduction-aided MMSE DFE. Thereby, operations on an augmented matrix, usually proposed to obtain the desired results, are avoided. A suited modification of the “fast V-BLAST algorithm” proposed by Benesty et al. is given. By means of numerical simulations it is covered, that performance does not suffer but algorithmic complexity can almost be halved.
  • Keywords
    Channel models; Complexity theory; Correlation; Decision feedback equalizers; Feedforward neural networks; Lattices; MIMO; MIMO channel; MMSE DFE; lattice-reduction-aided equalization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague, Czech Republic
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5947116
  • Filename
    5947116