• DocumentCode
    955167
  • Title

    Constellations for good diversity performance

  • Author

    Kerpez, Kenneth J.

  • Author_Institution
    Bellcore, Morristown, NJ, USA
  • Volume
    41
  • Issue
    9
  • fYear
    1993
  • fDate
    9/1/1993 12:00:00 AM
  • Firstpage
    1412
  • Lastpage
    1421
  • Abstract
    The case in which there are several channels available for transmission, and the additive noise on each channel may have different power, is treated. A signal constellation, called the coordinated code, for the signal space formed by the different channels is presented. The coordinated code has good performance when the noise powers are equal, while simultaneously providing diversity for good performance when the noise powers are unequal, and is relatively simple. The maximum-likelihood receiver is presented; it extracts information from the coded signal in inverse proportion to each channel´s noise power. The minimum distance of the code is found, and the coding gain over a system that transmits independent bit streams on each channel is derived as a function of the noise statistics. The gain of the code is also found relative to symbol splitting diversity, which transmits a copy of the same message on each channel; this gain is as high as 9 dB. The code is considered in detail for use with a high rate digital subscriber line (HDSL) comprised of two pairs of a local loop, each pair having different amounts of near end crosstalk (NEXT)
  • Keywords
    diversity reception; encoding; random noise; signal detection; subscriber loops; telecommunication channels; 9 dB; HDSL; NEXT; additive noise; coded signal; coding gain; coordinated code; copy; diversity performance; high rate digital subscriber line; information extraction; maximum-likelihood receiver; message; minimum distance; near end crosstalk; noise powers; noise statistics; signal constellation; signal space; symbol splitting diversity; Additive noise; Crosstalk; DSL; Data mining; Decision feedback equalizers; Intersymbol interference; Maximum likelihood estimation; Probability distribution; Radio transmitters; Statistics;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.237860
  • Filename
    237860