An efficient decoding algorithm for STBC with multi-dimensional rotated constellations

  • Heunchul Lee*
  • , Jungho Cho
  • , Jongkyu Kim
  • , Inkyu Lee
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    22 Citations (Scopus)

    Abstract

    In this paper, we present a novel maximum likelihood (ML) decoding algorithm for space-time block codes (STBC) over fading channels. Using a lattice representation for space-time codes by transforming complex channel models into real matrix equations, we propose a new efficient ML decoding algorithm with performance identical to the conventional ML decoder. We show that the complex orthogonal space-time codes, in fact, allow a separate ML decoding for each in-phase and quadrature-phase component. For rate one quasi-orthogonal designs with N transmit antennas (N ≥ 4), the proposed decoding scheme reduces the decoding complexity from script O sign (M cN/2) to script O sign(McN/4) in a Mc-QAM constellation. Moreover, multidimensional rotated constellations are constructed by which the quasi-orthogonal codes can achieve full diversity, while the proposed ML decoding method offers significant computational savings as compared with previous approaches.

    Original languageEnglish
    Title of host publication2006 IEEE International Conference on Communications, ICC 2006
    Pages5558-5563
    Number of pages6
    DOIs
    Publication statusPublished - 2006
    Event2006 IEEE International Conference on Communications, ICC 2006 - Istanbul, Turkey
    Duration: 2006 Jul 112006 Jul 15

    Publication series

    NameIEEE International Conference on Communications
    Volume12
    ISSN (Print)0536-1486

    Other

    Other2006 IEEE International Conference on Communications, ICC 2006
    Country/TerritoryTurkey
    CityIstanbul
    Period06/7/1106/7/15

    Keywords

    • Diversity methods
    • Maximum likelihood decoding
    • Space-Time Block Coding (STBC)

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Electrical and Electronic Engineering

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