DocumentCode :
517298
Title :
A Sorted Feedback Non-linear Quantization Algorithm for Lattice Reduction Aided MIMO Detection
Author :
Sun Yan-hua ; Wang Hao ; Zhang Yan-hua
Author_Institution :
Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
Volume :
2
fYear :
2010
fDate :
12-14 April 2010
Firstpage :
342
Lastpage :
347
Abstract :
Lattice reduction technology has been proved to improve MIMO system performance recently, but the complexity of optimum quantization algorithm is high due to constellation biased distribution caused by signal transformation. In this paper, a sorted feedback non-linear quantization (SFQ) scheme is proposed, which considers both the border of transformed constellation and the correlations between signal elements, and the elements are selected to be quantized according to quantization errors. The simulation results show that the performance of lattice reduction aided (LRA) MIMO detectors based on the proposed quantization scheme is superior to that of LRA MIMO detectors based on non-sorted feedback and independent element-wise quantization schemes. The proposed algorithm can approach the performance of maximum likelihood detection in polynomial complexity in a flat block fading channel.
Keywords :
MIMO communication; correlation methods; fading channels; matrix algebra; quantisation (signal); signal detection; flat block fading channel; lattice reduction aided MIMO detection; signal element correlation; sorted feedback nonlinear quantization algorithm; transformed constellation; Constellation diagram; Detectors; Fading; Feedback; Lattices; MIMO; Maximum likelihood detection; Polynomials; Quantization; System performance; MIMO; lattice reduction; quantization scheme; sorted feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Mobile Computing (CMC), 2010 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-6327-5
Electronic_ISBN :
978-1-4244-6328-2
Type :
conf
DOI :
10.1109/CMC.2010.104
Filename :
5471279
Link To Document :
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