DocumentCode
1803543
Title
Power Constrained Gradient Decent Detection for V-BLAST system
Author
Lu, Xiaofeng ; Zhang, Li ; Liu, Shuhua ; Cao, Jinjin
Author_Institution
State Key Lab. of Integrated Services Networks, Xidian Univ., Xi´´an, China
Volume
3
fYear
2011
fDate
24-26 Dec. 2011
Firstpage
1997
Lastpage
2000
Abstract
For Vertical Bell Laboratories Layered Space-Time(V-BLAST) system, we propose a linear multiple-input multiple-output(MIMO) detection algorithm which uses the transmit power constraints to reduce the search range in a linear space and uses the continuous gradient search method to get the optimal solution. The simulation results show that Power Constrained Gradient Decent Detection (PCGDD) detection performance is significantly better than linear detection algorithms zero forcing(ZF) and close to the minimum mean squares estimation(MMSE) detection performance. Furthermore, compared to the MMSE detection, power constrained gradient decent detection (PCGDD) omits the noise detection part and works effectively in high noise environments. So it has a lower computational complexity and a better robustness.
Keywords
MIMO communication; least mean squares methods; MIMO detection algorithm; MMSE; PCGDD; V-BLAST system; ZF; linear detection algorithms zero forcing; linear multiple-input multiple-output detection algoritm; minimum mean squares estimation detection; power constrained gradient decent detection; vertical bell laboratories layered space-time system; Algorithm design and analysis; Detection algorithms; Equations; Estimation; MIMO; Mathematical model; Noise; MIMO; V-BLAST; gradient detection; power constrained;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4577-1586-0
Type
conf
DOI
10.1109/ICCSNT.2011.6182363
Filename
6182363
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