Lattice Reduction Aided Blind Signal Separation Algorithm

Author

Kun Zhang ; Yourong Lu ; Wei Wang

Author_Institution

Nat. Key Lab. of Sci. & Technol. on Blind Signal Process., Chengdu, China

fYear

2014

fDate

19-21 Dec. 2014

Firstpage

890

Lastpage

894

Abstract

Multi-antenna blind signal separation (BSS) provides a useful method for co-channel mixed signal processing. But the performance of BSS is limited by the condition number of channel matrix in the presence of noise. To overcome this problem, a new BSS algorithm with the aid of lattice reduction (LR) is proposed for synchronous communication systems. Simulation results show that the proposed algorithm improves the symbol error rate (SER) performance in noise environment while keeping the same complexity level.

Keywords

blind source separation; cochannel interference; error statistics; matrix algebra; SER performance; channel matrix; cochannel mixed signal processing; lattice reduction; multiantenna blind signal separation; noise environment; symbol error rate performance; synchronous communication systems; Algorithm design and analysis; Blind source separation; Complexity theory; Lattices; Noise; Signal processing algorithms; Vectors; blind signal separation (BSS); co-channel interference (CCI); condition number; lattice reduction (LR); synchronous systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4799-7980-6

Type

conf

DOI

10.1109/CSE.2014.181

Filename

7023691