DocumentCode :
417876
Title :
Approximate ML detection for MIMO systems with very low complexity
Author :
Rupp, Markus ; Gritsh, G. ; Weinrichter, Hans
Author_Institution :
Inst. of Commun. & Radio-Frequency Eng., Univ. of Technol., Vienna, Austria
Volume :
4
fYear :
2004
fDate :
17-21 May 2004
Abstract :
Recently many space-time coding schemes for multiple antenna systems (MIMO) have been proposed in order to achieve high data rates when transmitting over wireless channels. However, most of such schemes rely on maximum likelihood (ML) detection, which can become quite complex when many antennas are involved and higher modulation schemes are utilized. On the other hand, the high diversity gains of MIMO channels are easily lost when low-complexity receivers like ZF or MMSE are applied. It is thus of utmost importance to look for low-complexity receivers which achieve almost ML performance. In this paper, a new scheme for approximate ML detection for typical flat Rayleigh fading channels is proposed, achieving ML performance in the area of bit error ratio between 10-4 and 0.1 as it is of interest in wireless communications. The proposed scheme allows the transmission of 64QAM schemes on 4×4 antenna schemes with a detection complexity of only 1% of a brute force ML receiver.
Keywords :
MIMO systems; Rayleigh channels; diversity reception; error statistics; maximum likelihood detection; quadrature amplitude modulation; space-time codes; 64 QAM schemes; MIMO channel diversity gain; approximate ML detection; bit error ratio; flat Rayleigh fading channels; high data rate wireless channels; low-complexity receivers; maximum likelihood detection; multiple antenna systems; space-time coding schemes; very low complexity ML detection; Communications technology; Detectors; Fading; MIMO; Maximum likelihood detection; Radio frequency; Receiving antennas; Signal processing algorithms; Space technology; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8484-9
Type :
conf
DOI :
10.1109/ICASSP.2004.1326950
Filename :
1326950
Link To Document :
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