Title :
A computationally-efficient FIR MMSE-DFE for multi-user communications
Author :
Al-Dhahir, Naofal ; Sayed, Ali H.
Author_Institution :
AT&T Shannon Lab., Florham Park, NJ, USA
fDate :
Oct. 29 2000-Nov. 1 2000
Abstract :
A new theoretical framework is introduced for analyzing the performance of a finite-length minimum mean square error decision feedback equalizer (MMSE-DFE) in a multi-input multi-output (MIMO) environment. The framework includes transmit and receive diversity systems as special cases and quantifies the diversity performance improvement as a function of the number of transmit/receive antennas and equalizer taps. Closed-form expressions for computing the finite-length MIMO MMSE-DFE are presented for two common multi-user detection scenarios.
Keywords :
FIR filters; MIMO systems; decision feedback equalisers; digital communication; dispersive channels; diversity reception; least mean squares methods; multi-access systems; multiuser channels; noise; receiving antennas; signal detection; transmitting antennas; FIR filter; MIMO environment; closed-form expressions; computationally-efficient FIR MMSE-DFE; decision feedback equalizer; digital communication systems; dispersive channels; diversity performance; equalizer taps; finite-length MIMO MMSE-DFE; intersymbol interference; interuser interference; linear dispersive channel; minimum mean square error; multi-input multi-output; multi-user communications; multiuser detection; noisy channels; performance analysis; receive diversity system; transmit diversity system; transmit/receive antennas; Additive noise; Broadband antennas; Colored noise; Crosstalk; Decision feedback equalizers; Finite impulse response filter; MIMO; Maximum likelihood estimation; Multiuser detection; Receiving antennas;
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-6514-3
DOI :
10.1109/ACSSC.2000.911311
