About the asymptotic performance of MMSE MIMO DFE for filter-bank based multicarrier transmission

We investigate the asymptotic performance of a multi-input multi-output decision-feedback (DF) equalizer used to detect a multicarrier (MC) signal based on a filter-bank and transmitted over a linear dispersive channel. We derive the optimum DF structure for a minimum-mean square-error criterion. We...

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Bibliographic Details
Published in:IEEE transactions on communications 1999-10, Vol.47 (10), p.1472-1475
Main Authors: Vandendorpe, L., Louveaux, J., Maison, B., Chevreuil, A.
Format: Article
Language:English
Subjects:
Asymptotic properties
Bit rate
Carriers
Channel bank filters
Channels
Computation and Language
Computer Science
Criteria
Decision feedback equalizers
Discrete Fourier transforms
Dispersion
Equalizers
Filter bank
MIMO
Nonlinear filters
OFDM modulation
Optimization
Signal to noise ratio
Transmitters
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Summary:We investigate the asymptotic performance of a multi-input multi-output decision-feedback (DF) equalizer used to detect a multicarrier (MC) signal based on a filter-bank and transmitted over a linear dispersive channel. We derive the optimum DF structure for a minimum-mean square-error criterion. We basically show that with infinite length forward and feedback filters and at high signal-to-noise ratio, the geometrical mean of prediction errors does not depend on the paraunitary filter-bank used in the transmitter. Hence, it appears that uncoded filter-bank based MC transmission and single carrier transmission, both used over the same channel and with optimum DF, lead to the same achievable bit rate.
ISSN:0090-6778
1558-0857
DOI:10.1109/26.795815