Reduced-complexity iterative equalization for severe time-dispersive MIMO channels

Sajid Ahmed, Tharmalingam Ratnarajah, Mathini Sellathurai, Colin Cowan

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)


In this paper, a reduced-complexity soft-interference-cancellation minimum mean-square-error.(SIC-MMSE) iterative equalization method for severe time-dispersive multiple-input-multiple-output (MIMO) channels is proposed. To mitigate the severe time dispersiveness of the channel, a single carrier with cyclic prefix is employed, and the equalization is per-formed in the frequency domain. This simplifies the challenging problem of equalization in MIMO channels due to both the intersymbol interference (ISI) and the coantenna interference (CAI). The proposed iterative algorithm works in two stages. The first stage estimates the transmitted frequency-domain symbols using a low-complexity SIC-MMSE equalizer. The second stage converts the estimated frequency-domain symbols in the time domain and finds their means and variances to incorporate in the SIC-MMSE equalizer in the next iteration. Simulation results show the bit-/symbol-error-rate performance of the SIC-MMSE equalizer, with and without coding, for various modulation schemes.
Original languageEnglish
Pages (from-to)594-600
Number of pages7
JournalIEEE Transactions on Vehicular Technology
Issue number1
Publication statusPublished - Jan 2008

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications


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