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