• DocumentCode
    1723248
  • Title

    Low-complexity near-maximum-likelihood detection and precoding for MIMO systems using lattice reduction

  • Author

    Windpassinger, Christoph ; Fischer, Robert F H

  • Author_Institution
    Lehrstuhl fur Informationsubertragung, Erlangen-Nurnberg Univ., Erlangen, Germany
  • fYear
    2003
  • Firstpage
    345
  • Lastpage
    348
  • Abstract
    We consider the lattice-reduction-aided detection scheme for 2×2 channels recently proposed by H. Yao and G.W. Wornell (see Proc. IEEE Globecom, 2002). By using an equivalent real-valued substitute MIMO channel model, their lattice reduction algorithm can be replaced by the well-known LLL (Lenstra-Lenstra-Lovasz) algorithm (Lenstra, A.K. et al., 1982), which enables the application of the algorithm to MIMO systems with arbitrary numbers of dimensions. We show how lattice reduction can also be favourably applied in systems that use precoding and give simulation results that underline the usefulness of this approach.
  • Keywords
    MIMO systems; encoding; maximum likelihood decoding; maximum likelihood detection; telecommunication channels; MIMO systems; lattice decoding; lattice reduction; maximum-likelihood decoding; near-maximum-likelihood detection; precoding; Additive white noise; Baseband; Detectors; Error analysis; Lattices; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Signal detection; Space time codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop, 2003. Proceedings. 2003 IEEE
  • Print_ISBN
    0-7803-7799-0
  • Type

    conf

  • DOI
    10.1109/ITW.2003.1216764
  • Filename
    1216764