DocumentCode
1923536
Title
Hybrid methods in MIMO blind equalization and source separation
Author
Lee, Zhi Hou ; Lim, Wee Gin
Author_Institution
Sch. of Electr. & Electron. Eng., Univ. of Nottingham Malaysia Campus, Semenyih, Malaysia
fYear
2010
fDate
3-5 Oct. 2010
Firstpage
5
Lastpage
9
Abstract
In this paper, we developed hybrid mode algorithms to hasten the convergence of multiple-input multiple-output (MIMO) equalizers with a cross-correlation cost function. In particular, we implemented a maximum a-posteriori (MAP) based single-input single-output (SISO) hybrid algorithm to this MIMO case and found that it exhibits superior performance in terms of the convergence speed and low steady state errors.
Keywords
MIMO communication; blind equalisers; blind source separation; correlation methods; maximum likelihood estimation; MIMO blind equalization; SISO hybrid algorithm; blind source separation; convergence speed; cross-correlation cost function; hybrid mode algorithms; low steady state errors; maximum a-posteriori hybrid algorithm; multiple-input multiple-output equalizers; single-input single-output hybrid algorithm; Blind equalizers; Convergence; Cost function; MIMO; Signal processing algorithms; Steady-state;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics & Applications (ISIEA), 2010 IEEE Symposium on
Conference_Location
Penang
Print_ISBN
978-1-4244-7645-9
Type
conf
DOI
10.1109/ISIEA.2010.5679506
Filename
5679506
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