DocumentCode :
2492935
Title :
A low complexity lattice reduction aided detection based on Gram-Schmidt
Author :
Kinoshita, Caio Masakazu ; Hou, Wei ; Sasaki, Yusuke ; Fujino, Tadashi
Author_Institution :
Univ. of Electro-Commun., Chofu, Japan
fYear :
2010
fDate :
15-18 Dec. 2010
Firstpage :
303
Lastpage :
308
Abstract :
In this paper, we proposes a low-complexity lattice-reduction aided detection (LRAD) based on the Gram-Schmidt (GS) procedure in multi-input multi-output (MIMO) communications. The conventional LRAD achieves good bit error ratios (BERs) because it reduces the column vectors of the channel matrix close to orthogonal using LLL Algorithm. The proposed detection method reduces the column vectors of the channel matrix mutually purely orthogonal using the LLL algorithm and then the GS procedure, and achieve more reliable estimation of the transmitted signals than the conventional LLL algorithm. The BER curves for the proposed detection is steeper than the conventional LRAD with low complexity.
Keywords :
MIMO communication; communication complexity; error statistics; matrix algebra; signal detection; wireless channels; BER curve; Gram-Schmidt procedure; LLL Algorithm; LRAD; MIMO communication; bit error ratio; channel matrix; low-complexity lattice-reduction aided detection; multiple-input multiple-output communication; Bit error rate; Complexity theory; Estimation; MIMO; Phase shift keying; Quantization; Transforms; Gram-Schmidt procedure; LLL algorithm; MIMO; MMSE; lattice-reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology (ISSPIT), 2010 IEEE International Symposium on
Conference_Location :
Luxor
Print_ISBN :
978-1-4244-9992-2
Type :
conf
DOI :
10.1109/ISSPIT.2010.5711799
Filename :
5711799
Link To Document :
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