Title :
A Low Complexity Near Maximum Likelihood VBLAST Algorithm for MIMO Systems
Author :
Chen, Jiming ; Liang, Jie ; Tang, Youxi ; Li, Shaoqian
Author_Institution :
National Key Lab. of Commun., China Univ. of Electron. Sci. & Technol., Chengdu
Abstract :
In this paper, we propose a new list-based detection algorithm to achieve near maximum likelihood (ML) performance with low computational complexity for multiple-input multiple-output (MIMO) systems. First, we use the minimum mean square error (MMSE) detection to yield an initial bit decision and the corresponding bit log-likelihood ratio (LLR) for a specified layer. Next we construct a list of LLR-based candidate error vectors for the specified layer, and then apply independent reduced-complexity sub-detectors to the remaining layers after cancelling the contribution of each candidate vector of the list. Finally the most likely vector is returned among all visited decisions. Simulation results show that the proposed method can approach identical performance to that of ML detection but only 0.15% complexity for (4,4) system using uncoded 16-QAM.
Keywords :
MIMO communication; computational complexity; least mean squares methods; maximum likelihood detection; space-time codes; MIMO systems; MMSE detection; computational complexity; list-based detection algorithm; log-likelihood ratio; minimum mean square error detection; multiple-input multiple-output systems; near maximum likelihood VBLAST algorithm; reduced-complexity subdetectors; Binary codes; Communications Society; Computational complexity; Detection algorithms; Detectors; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Mean square error methods; System performance;
Conference_Titel :
Wireless Communications and Networking Conference, 2007.WCNC 2007. IEEE
Conference_Location :
Kowloon
Print_ISBN :
1-4244-0658-7
Electronic_ISBN :
1525-3511
DOI :
10.1109/WCNC.2007.204
