DocumentCode :
3417659
Title :
Low-complexity MIMO data detection using dual lattice-basis reduction
Author :
Hou, Wei ; Negishi, Hidekazu ; Fujino, Tadashi
Author_Institution :
Univ. of Electro-Commun., Chofu, Japan
fYear :
2010
fDate :
24-28 Oct. 2010
Firstpage :
1453
Lastpage :
1457
Abstract :
Lattice reduction is an effective technique for improving the performance of MIMO data detection. In this paper, we analyze lattice reduction processing on the basis lattice and the dual lattice for MIMO detection and investigate the parameters which affect the complexity of the LLL algorithm. Through use of the dual lattice in the LLL algorithm, the BER performances are improved about 2.2dB at BER=10-5 for the 8×8 MIMO system compared to the LLL algorithm. We demonstrate the dual lattice as the reduced lattice can diminish the effect of noise with low complexity.
Keywords :
MIMO communication; error statistics; least mean squares methods; signal detection; BER performances; LLL algorithm; MIMO system; dual lattice-basis reduction processing; low-complexity MIMO data detection; Algorithm design and analysis; Bit error rate; Complexity theory; Estimation; Lattices; MIMO; Signal processing algorithms; LLL algorithm; MLMO; MMSE; dual lattice basis; lattice reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
Type :
conf
DOI :
10.1109/ICOSP.2010.5656652
Filename :
5656652
Link To Document :
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