A computationally-efficient FIR MMSE-DFE for multi-user communications

Author

Al-Dhahir, Naofal ; Sayed, Ali H.

Author_Institution

Shannon Lab., AT&T, Florham Park, NJ, USA

Volume

1

fYear

1999

fDate

24-27 Oct. 1999

Firstpage

207

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; dispersive channels; diversity reception; least mean squares methods; multiuser channels; receiving antennas; signal detection; transmitting antennas; MIMO; closed-form expressions; computationally-efficient FIR MMSE-DFE; dispersive communication system; diversity performance; equalizer taps; feedback matrix filter; feedforward matrix filter; finite-length MIMO MMSE-DFE; minimum-mean-square-error decision feedback equalizer; multi-input multi-output environment; multi-user communications; multi-user detection; 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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5700-0

Type

conf

DOI

10.1109/ACSSC.1999.832323

Filename

832323