DocumentCode :
512415
Title :
Reduced complexity ML detection algorithm for V-BLAST architectures
Author :
Chen, Wenbai ; Zhang, Xiaopin ; Li, Wei
Author_Institution :
Beijing Univ. of Posts & Telecom (BUPT), Beijing, China
Volume :
1
fYear :
2009
fDate :
28-29 Nov. 2009
Firstpage :
190
Lastpage :
193
Abstract :
Vertical Bell-laboratories Space-Time (V-BLAST) is a multiple transmit and multiple receive antennas (MIMO) wireless systems. V-BLAST attains very high spectral efficiency while maintaining low implementation complexity. Among the detection algorithms of V-BLAST, Maximum Likelihood (ML) detection scheme performs the best, and however, its complexity is excessively high. To solve the problem, a reduced complexity ML detection algorithm is proposed in this paper. This scheme takes advantage of OSIC detection algorithm to reduce the number of constellation point in ML detection. Simulation results show that the proposed scheme reduces the computational complexity greatly and achieves high detection performance which is close to ML detection.
Keywords :
MIMO communication; computational complexity; maximum likelihood detection; receiving antennas; spectral analysis; transmitting antennas; MIMO wireless system; OSIC detection algorithm; V-BLAST architecture; computational complexity; maximum likelihood detection scheme; multiple receive antenna; multiple transmit antenna; spectral efficiency; vertical bell-laboratories space-time; Antenna accessories; Computational complexity; Computational modeling; Detection algorithms; Interference cancellation; Iterative algorithms; MIMO; Maximum likelihood detection; Receiving antennas; Transmitting antennas; MIMO system; ML detection; OSIC detection; V-BLAST;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4606-3
Type :
conf
DOI :
10.1109/PACIIA.2009.5406459
Filename :
5406459
Link To Document :
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