• DocumentCode
    2799411
  • Title

    Space-time decoding using a modified LMMSE algorithm

  • Author

    Sandell, Magnus

  • Author_Institution
    Telecommun. Res. Lab., Toshiba Res. Eur. Ltd, Bristol, UK
  • fYear
    2004
  • fDate
    20-22 Sept. 2004
  • Firstpage
    338
  • Lastpage
    342
  • Abstract
    Iterative decoding has been proposed to improve the performance of multiple-input, multiple-output (MIMO) systems, where extrinsic information is passed between the space-time decoder and the channel decoder. A linear minimum mean-squared error (LMMSE) estimator accepting a priori information has been proposed as an equaliser for single antenna systems and in this paper we discuss its use as a space-time decoder. We also derive a novel modification, called the self-iterating LMMSE decoder, and present simulation results. It is shown that this modified LMMSE decoder can achieve huge gains over the conventional LMMSE decoder. Also both LMMSE decoders can supply a significant gain with iterative decoding, and with enough diversity and iterations, their performance approach that of the optimal decoder.
  • Keywords
    MIMO systems; antennas; channel coding; iterative decoding; least mean squares methods; space-time codes; MIMO system; a priori information; channel decoder; iterative decoding; linear minimum mean-squared error estimator; modified LMMSE algorithm; multiple-input multiple-output; optimal decoder; self-iterating LMMSE decoder; single antenna system; space-time decoding; Block codes; Channel capacity; Diversity reception; Europe; Iterative decoding; MIMO; Narrowband; OFDM; Performance gain; Receiving antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communication Systems, 2004, 1st International Symposium on
  • Print_ISBN
    0-7803-8472-5
  • Type

    conf

  • DOI
    10.1109/ISWCS.2004.1407265
  • Filename
    1407265