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Adaptive turbo reduced-rank equalization for MIMO channels

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3 Author(s)
Yakun Sun ; Dept. of Electr. & Comput. Eng., Northwestern Univ., Evanston, IL, USA ; Tripathi, V. ; Honig, M.L.

An adaptive iterative (turbo) decision-feedback equalizer (DFE) for channels with intersymbol interference (ISI) is presented. The filters are computed directly from the soft decisions and received data to minimize a least-squares (LS) cost function. Numerical results show that this method gives a substantial improvement in performance relative to a turbo DFE computed from an exact channel estimate, assuming perfect feedback. Adaptive reduced-rank estimation methods are also presented, based on the multistage Wiener filter (MSWF). The adaptive reduced-rank turbo DFE for single-input/single-output channels is extended to multiple-input/multiple-output (MIMO) channels with ISI and multiple receive antennas. Numerical results show that for MIMO channels with limited training, the reduced-rank turbo DFE can perform significantly better than the full-rank turbo DFE.

Published in:

Wireless Communications, IEEE Transactions on  (Volume:4 ,  Issue: 6 )

Date of Publication:

Nov. 2005

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