• DocumentCode
    699182
  • Title

    An MMSE interference estimator for Turbo BLAST systems

  • Author

    Wu Yan ; Yuan Li ; Sumei Sun

  • Author_Institution
    Inst. for Infocomm Res., Singapore, Singapore
  • fYear
    2004
  • fDate
    6-10 Sept. 2004
  • Firstpage
    1845
  • Lastpage
    1848
  • Abstract
    Turbo BLAST(Bell LAb´s Layered Space Time) [1] detection and decoding has demonstrated promising performance for coded BLAST systems. In Turbo BLAST system, an iterative interference cancellation and decoding approach is adopted to simplify processing. The interference is estimated using the extrinsic information from the decoder, which we refer as extrinsic estimator. In this paper, we propose an optimal Minimum Mean Square Error (MMSE) interference estimator for Turbo BLAST system. We show that the mean square error of interference estimation is improved using the proposed estimator. As a result, for QPSK system, the Turbo BLAST system using the MMSE estimator achieves superior performance compared to extrinsic estimator at low and medium SNR regions. At high SNR´s, performance of both systems converges to the performance lower bound. For Turbo BLAST system with 16QAM modulation, using the extrinsic estimator leads to divergence of the bit error rate (BER) performance, while using the proposed estimator, the BER still converges to the lower bound.
  • Keywords
    decoding; error statistics; interference suppression; least mean squares methods; quadrature amplitude modulation; quadrature phase shift keying; space-time codes; turbo codes; 16QAM modulation; BER; Bell Lab layered space time; MMSE interference estimator; QPSK system; SNR region; bit error rate; decoding approach; iterative interference cancellation; minimum mean square error; turbo BLAST system; Abstracts; Hafnium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2004 12th European
  • Conference_Location
    Vienna
  • Print_ISBN
    978-320-0001-65-7
  • Type

    conf

  • Filename
    7079712