• DocumentCode
    2188733
  • Title

    MIMO Detector Based on Viterbi Algorithm

  • Author

    Lee, Jin ; Park, Sin-Chong

  • Author_Institution
    System Integration Technology Institute, Information and Communications University
  • fYear
    2007
  • fDate
    17-19 Oct. 2007
  • Firstpage
    111
  • Lastpage
    115
  • Abstract
    Suboptimal detectors of multiple-input multiple-output (MIMO) have been studied because the implementation of the optimum detector, the maximum-likelihood (ML) detector, has so far been considered infeasible for high-rate system. Sphere decoder (SD) using depth-first tree searching and K-best algorithm are used for near optimum detector. SD has the non-deterministic computational throughput and K-best requires the sorting unit whose complexity is significantly high when a large K is used together with high modulation constellation. In this paper, we propose a MIMO detector employing Viterbi algorithm instead of tree searching. This detector can keep the computational throughput constant and reduce the complexity because the sorting is not required. In the simulation, we analyze the advantage and the drawback of the proposed detector in the environment of IEEE 802.11n system.
  • Keywords
    Analytical models; Computational modeling; Decision trees; Detectors; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Sorting; Throughput; Viterbi algorithm; MIMO; MIMO detector; Sphere decoder;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems, 2007 IEEE Workshop on
  • Conference_Location
    Shanghai, China
  • ISSN
    1520-6130
  • Print_ISBN
    978-1-4244-1222-8
  • Electronic_ISBN
    1520-6130
  • Type

    conf

  • DOI
    10.1109/SIPS.2007.4387528
  • Filename
    4387528