DocumentCode :
3044339
Title :
Blind channel identification using RLS method based on second-order statistics
Author :
Kimura, Tomohiro ; Sasaki, Hideaki ; Ochi, Hiroshi
Author_Institution :
R&D Lab., Kyushu Matsushita Electr. Co. Ltd., Japan
fYear :
1999
fDate :
1999
Firstpage :
78
Lastpage :
81
Abstract :
In this paper, we propose a new blind identification algorithm which is based on second order statistics and exploits a single-input double-output (SIDO) model. It is suitable for a real-time processing system because of lower operation and high-speed convergence. The proposed blind identification algorithm is superior to conventional algorithms in view of simple structure and the uniqueness of solution. We also verify its efficiency by computer simulation
Keywords :
blind equalisers; convergence of numerical methods; least squares approximations; recursive estimation; statistical analysis; telecommunication channels; RLS method; SIDO model; blind channel identification; computer simulation; high-speed convergence; real-time processing system; second-order statistics; single-input double-output model; Bandwidth; Blind equalizers; Computer simulation; Convergence; Cost function; Digital communication; Equations; Intersymbol interference; Resonance light scattering; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications, 1999. SPAWC '99. 1999 2nd IEEE Workshop on
Conference_Location :
Annapolis, MD
Print_ISBN :
0-7803-5599-7
Type :
conf
DOI :
10.1109/SPAWC.1999.783023
Filename :
783023
Link To Document :
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