• DocumentCode
    785391
  • Title

    Effect of mismatched SNR on the performance of log-MAP turbo detector

  • Author

    Khalighi, Mohammad Ali

  • Author_Institution
    Signal Process. Dept., Ecole Nat. Superieure de Telecommun., Paris, France
  • Volume
    52
  • Issue
    5
  • fYear
    2003
  • Firstpage
    1386
  • Lastpage
    1397
  • Abstract
    The effect of signal-to-noise ratio (SNR) mismatch on the bit error rate (BER) performance of log-MAP turbo detector is studied. It is shown that the sensitivity to the mismatched SNR depends on the channel loss and the encoder memory length. In particular, the sensitivity is more important for a "difficult-to-equalize" channel or, in other words, a high-loss channel. In fact, by affecting the equalizer and the decoder, a mismatched SNR (with an offset with respect to the true SNR) affects the convergence of the turbo detector. Using the asymptotic analysis tool of extrinsic information transfer (EXIT) charts, the effect of a positive or a negative SNR offset on the convergence of the log-MAP turbo detector is studied. When no information is available at the receiver on SNR, an online estimation of SNR is necessary in order to not lose the advantage of the log-MAP turbo detector over other suboptimal turbo detectors. In this view, a relatively simple SNR estimation method is proposed, which offers satisfying results.
  • Keywords
    convergence of numerical methods; equalisers; error statistics; noise; phase shift keying; signal detection; telecommunication channels; turbo codes; BER performance; BPSK; SNR estimation method; SOVA turbo detectors; asymptotic analysis tool; binary phase-shift keying; bit error rate; channel loss; decoder; difficult-to-equalize channel; encoder memory length; equalizer; extrinsic information transfer charts; high-loss channel; log-MAP turbo detector; mismatched SNR; online estimation; receiver; suboptimal turbo detectors; turbo codes; turbo detector convergence; Bit error rate; Convergence; Detectors; Equalizers; Information analysis; Iterative algorithms; Iterative decoding; Signal processing algorithms; Signal to noise ratio; Viterbi algorithm;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2003.816644
  • Filename
    1232702