TY - GEN
T1 - Low complexity iterative equalization for severe time dispersive MIMO channels
AU - Ahmed, Sajid
AU - Ratnarajah, T.
AU - Sellathurai, M.
AU - Cowan, Colin
PY - 2006
Y1 - 2006
N2 - In this work, reduced complexity minimum mean squared error (MMSE) iterative equalization methods for a multiple-input multiple-output (MIMO) frequency selective channel are proposed. To combat the severe time dispersiveness of the channel OFDM is incorporated. Use of OFDM simplifies the challenging problem of equalization in a MIMO system, due to both inter-symbol-interference (ISI) and co-antenna interference (CAI). The iterative algorithms work in two stages. The first stage estimates the transmitted symbols using a low complexity MMSE equalizer, which accounts for the variance of the already estimated symbols. Then, the second stage finds the a posteriori probabilities of the estimated symbols to find their means and variances to use in the MMSE equalizer in the following iteration. Simulation results show the performance of the proposed iterative algorithm is better than the MMSE equalizer and close to the matched filter bound (MFB) at low computational cost.
AB - In this work, reduced complexity minimum mean squared error (MMSE) iterative equalization methods for a multiple-input multiple-output (MIMO) frequency selective channel are proposed. To combat the severe time dispersiveness of the channel OFDM is incorporated. Use of OFDM simplifies the challenging problem of equalization in a MIMO system, due to both inter-symbol-interference (ISI) and co-antenna interference (CAI). The iterative algorithms work in two stages. The first stage estimates the transmitted symbols using a low complexity MMSE equalizer, which accounts for the variance of the already estimated symbols. Then, the second stage finds the a posteriori probabilities of the estimated symbols to find their means and variances to use in the MMSE equalizer in the following iteration. Simulation results show the performance of the proposed iterative algorithm is better than the MMSE equalizer and close to the matched filter bound (MFB) at low computational cost.
UR - http://www.scopus.com/inward/record.url?scp=47049119708&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2006.355138
DO - 10.1109/ACSSC.2006.355138
M3 - Conference contribution
AN - SCOPUS:47049119708
SN - 1424407850
SN - 9781424407859
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 2102
EP - 2106
BT - Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06
T2 - 40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06
Y2 - 29 October 2006 through 1 November 2006
ER -