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

Sajid Ahmed*, T. Ratnarajah, Mathini Sellathurai, Colin F.N. Cowan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


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 performed 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 (US)
Pages (from-to)594-600
Number of pages7
JournalIEEE Transactions on Vehicular Technology
Issue number1
StatePublished - Jan 2008
Externally publishedYes


  • Frequency-domain equalizer
  • Frequency-selective multiple-input-multiple-output (MIMO) channels
  • Iterative receiver
  • Single carrier with cyclic prefix (SCCP)

ASJC Scopus subject areas

  • Aerospace Engineering
  • Applied Mathematics
  • Electrical and Electronic Engineering
  • Automotive Engineering


Dive into the research topics of 'Reduced-complexity iterative equalization for severe time-dispersive MIMO channels'. Together they form a unique fingerprint.

Cite this