Title :
Finite-length channel-shortening space-time equalisers for MIMO linear frequency-selective channels
Author :
Al-Dhahir, Naofal
Author_Institution :
AT&T Shannon Lab., Florham Park, NJ, USA
fDate :
Oct. 29 2000-Nov. 1 2000
Abstract :
Finite-length delay-optimized multi-input multi-output (MIMO) equalizers that optimally shorten the impulse response memory of frequency-selective (MIMO) channels are derived. The MIMO equalizers are designed to minimize the average energy of the error sequence between the equalized MIMO channel impulse response (CIR) and a MIMO target impulse response (TIR) with shorter memory. Two criteria for optimizing the MIMO TIR are analyzed and compared. The presented analytical framework encompasses a multitude of previously-studied finite-length equalization techniques.
Keywords :
MIMO systems; equalisers; least mean squares methods; matrix algebra; maximum likelihood sequence estimation; telecommunication channels; MIMO equalizers; MLSE; MMSE equalizers; channel impulse response; delay-optimized multi-input multi-output equalizers; finite-length channel-shortening space-time equalisers; impulse response memory; linear frequency-selective channels; target impulse response; Delay; Equalizers; Fading; Frequency diversity; Interchannel interference; MIMO; Maximum likelihood detection; Maximum likelihood estimation; Performance analysis; Transmitters;
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.2000.911044
