DocumentCode :
1991142
Title :
A Jacobi Method for Lattice Basis Reduction
Author :
Qiao, Sanzheng
Author_Institution :
Dept. of Comput. & Software, McMaster Univ., Hamilton, ON, Canada
fYear :
2012
fDate :
27-30 May 2012
Firstpage :
1
Lastpage :
4
Abstract :
Lattice reduction aided decoding has been successfully used in wireless communications. In this paper, we propose a Jacobi method for lattice basis reduction. Jacobi method is attractive, because it is inherently parallel. Thus high performance can be achieved by exploiting multiprocessor and/or multicore architectures. We also present our experimental results on the convergence of our method and the comparison with the LLL algorithm, a lattice basis reduction method widely used in wireless communication applications.
Keywords :
Jacobian matrices; decoding; microprocessor chips; radio networks; Jacobi method; LLL algorithm; lattice basis reduction; lattice reduction aided decoding; multicore architectures; multiprocessor architectures; wireless communication applications; Cryptography; Jacobian matrices; Lattices; Maximum likelihood decoding; Signal processing algorithms; Vectors; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering and Technology (S-CET), 2012 Spring Congress on
Conference_Location :
Xian
Print_ISBN :
978-1-4577-1965-3
Type :
conf
DOI :
10.1109/SCET.2012.6342057
Filename :
6342057
Link To Document :
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