DocumentCode :
1623062
Title :
Stack based detection algorithms for V-BLAST wireless system
Author :
Weiyu Xu ; Youzheng Wang ; Zucheng Zhou ; Jing Wang
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., China
Volume :
1
fYear :
2004
Firstpage :
149
Abstract :
A series of novel stack-based low-complexity algorithms are proposed for signal detection in V-BLAST wireless systems. Among them, the basic stack (BST) algorithm achieves maximum-likelihood (ML) detection performance with tractable computational complexity. By optimizing the BST algorithm through optimally ordering and adapting detection to channel matrix conditions, computational complexity and storage complexity are further reduced. An upper bound for the average computational complexity of the BST algorithm is derived analytically and it is shown that, for a fixed channel matrix, the upper-bound of the average computational complexity of the ML stack algorithm decreases exponentially as SNR increases. Simulation results show that stack-based algorithms achieve optimum performance with much lower average complexity than traditional ML detectors.
Keywords :
MIMO systems; adaptive signal detection; computational complexity; matrix algebra; maximum likelihood detection; optimisation; radio links; MIMO; ML detection; V-BLAST wireless system; adaptive signal detection; antennas; basic stack algorithm; channel matrix conditions; computational complexity; maximum-likelihood detection; stack based detection algorithms; storage complexity; Algorithm design and analysis; Binary search trees; Computational modeling; Decision feedback equalizers; Detection algorithms; Detectors; MIMO; Maximum likelihood detection; Signal detection; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Circuits and Systems, 2004. ICCCAS 2004. 2004 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
0-7803-8647-7
Type :
conf
DOI :
10.1109/ICCCAS.2004.1345988
Filename :
1345988
Link To Document :
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