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

Sajid Ahmed; T. Ratnarajah; Mathini Sellathurai; Colin F.N. Cowan

doi:10.1109/TVT.2007.905395

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 journal › Article › peer-review

7 Scopus citations

Abstract

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 language	English (US)
Pages (from-to)	594-600
Number of pages	7
Journal	IEEE Transactions on Vehicular Technology
Volume	57
Issue number	1
DOIs	https://doi.org/10.1109/TVT.2007.905395
State	Published - Jan 2008
Externally published	Yes

Keywords

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

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10.1109/TVT.2007.905395

Cite this

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title = "Reduced-complexity iterative equalization for severe time-dispersive MIMO channels",

abstract = "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.",

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N2 - 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.

AB - 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.

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KW - Frequency-selective multiple-input-multiple-output (MIMO) channels

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

Abstract

Keywords

ASJC Scopus subject areas

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