• DocumentCode
    1643045
  • Title

    Low ML-detection complexity, adaptive 2×2 STBC, with powerful FEC codes

  • Author

    El Falou, Ammar ; Langlais, C. ; Nour, C.A. ; Douillard, C.

  • Author_Institution
    Electron. Dept., Univ. Eur. de Bretagne, Brest, France
  • fYear
    2012
  • Firstpage
    195
  • Lastpage
    199
  • Abstract
    We present an adaptive space time block code (STBC) for 2×2 MIMO systems designed to be used with powerful forward error correcting (FEC) codes and having a low ML-detection complexity. STBCs are commonly designed according to the rank-determinant criteria, suitable for high signal to noise ratio (SNR) values. However, powerful FEC codes like turbo codes achieve iterative convergence at low to moderate SNR. Thus, we first propose a non-asymptotic STBC design criterion based on the bitwise mutual information (BMI) maximization at a specific target SNR. According to this criterion, an adaptive matrix D based STBC is defined for a wide range of SNRs. Resulting code outperforms the original matrix D and closes the gap to the more complex Golden code in the context of a WiMAX system.
  • Keywords
    MIMO communication; WiMax; adaptive codes; convergence; forward error correction; maximum likelihood detection; optimisation; space-time block codes; turbo codes; BMI maximization; Golden code; MIMO systems; ML-detection complexity; SNR values; WiMAX system; adaptive STBC; adaptive matrix D; adaptive space time block code; bitwise mutual information maximization; high signal to noise ratio values; iterative convergence; nonasymptotic STBC design criterion; powerful FEC codes; powerful forward error correcting codes; rank-determinant criteria; target SNR; turbo codes; Bit error rate; Complexity theory; MIMO; Modulation; Signal to noise ratio; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Turbo Codes and Iterative Information Processing (ISTC), 2012 7th International Symposium on
  • Conference_Location
    Gothenburg
  • ISSN
    2165-4700
  • Print_ISBN
    978-1-4577-2114-4
  • Electronic_ISBN
    2165-4700
  • Type

    conf

  • DOI
    10.1109/ISTC.2012.6325226
  • Filename
    6325226