Title :
About the asymptotic performance of MMSE MIMO DFE for filter-bank based multicarrier transmission
Author :
Vandendorpe, L. ; Louveaux, J. ; Maison, B. ; Chevreuil, A.
Author_Institution :
Commun. & Remote Sensing Lab., Univ. Catholique de Louvain, Belgium
fDate :
10/1/1999 12:00:00 AM
Abstract :
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
Keywords :
MIMO systems; channel bank filters; decision feedback equalisers; dispersive channels; least mean squares methods; prediction theory; MMSE MIMO DFE; achievable bit rate; asymptotic performance; decision-feedback equalizer; filter-bank based multicarrier transmission; geometrical mean; high signal-to-noise ratio; infinite length feedback filter; infinite length forward filter; linear dispersive channel; minimum-mean square-error criterion; multi-input multi-output equalizer; multicarrier signal detection; optimum DF structure; paraunitary filter-bank; prediction errors; single carrier transmission; transmitter; uncoded filter-bank; Bit rate; Channel bank filters; Decision feedback equalizers; Discrete Fourier transforms; Dispersion; Filter bank; MIMO; Nonlinear filters; OFDM modulation; Signal to noise ratio;
Journal_Title :
Communications, IEEE Transactions on