Blind MMSE equalization of FIR/IIR channels using oversampling and multichannel linear prediction

Fangjiong CHEN, Sam KWONG, Chi-Wah KOK

Research output: Journal PublicationsJournal Article (refereed)peer-review

8 Citations (Scopus)


A linear-prediction-based blind equalization algorithm for single-input single-output (SISO) finite impulse response/infinite impulse response (FIR/IIR) channels is proposed. The new algorithm is based on second-order statistics, and it does not require channel order estimation. By oversampling the channel output, the SISO channel model is converted to a special single-input multiple-output (SIMO) model. Two forward linear predictors with consecutive prediction delays are applied to the subchannel outputs of the SIMO model. It is demonstrated that the partial parameters of the SIMO model can be estimated from the difference between the prediction errors when the length of the predictors is sufficiently large. The sufficient filter length for achieving the optimal prediction is also derived. Based on the estimated parameters, both batch and adaptive minimum-mean-square-error equalizers are developed. The performance of the proposed equalizers is evaluated by computer simulations and compared with existing algorithms.
Original languageEnglish
Pages (from-to)162-172
JournalETRI Journal
Issue number2
Early online date1 Apr 2009
Publication statusPublished - Apr 2009
Externally publishedYes


  • Adaptive equalizers
  • Equalizers
  • Estimation
  • Least-mean-square methods


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