Reduced complexity ML detection algorithm for V-BLAST architectures

Wenbai Chen Wenbai Chen,Xiaopin Zhang Xiaopin Zhang,Wei Li Wei Li

doi:10.1109/paciia.2009.5406459

Reduced complexity ML detection algorithm for V-BLAST architectures

Wenbai Chen Wenbai Chen, Xiaopin Zhang Xiaopin Zhang + Show 1 more

https://doi.org/10.1109/paciia.2009.5406459

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Publication Date: Nov 1, 2009

Citations: 4

Affiliation: Beijing University of Posts and Telecommunications, China Electronics Corporation (China)

#Maximum Likelihood Detection #Reduced Complexity Maximum Likelihood Detection + Show 8 more

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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.

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