DocumentCode
420584
Title
Blind equalization algorithm based on LMS-Newton gradient
Author
Liyi, Zhang ; Hairong, Jia ; Huakui, Wang ; Xiong, Zhang
Author_Institution
Coll. of Inf. Eng., Taiyuan Univ. of Technol., China
Volume
1
fYear
2004
fDate
15-19 June 2004
Firstpage
322
Abstract
A new blind equalization algorithm based on LMS-Newton gradient is proposed. In order to decline complexity of algorithm and obtain faster convergence speed, a new cost function according to the principle of Euclidean distance is designed. The effectiveness of the new algorithm is illustrated by way of computer simulations.
Keywords
Newton method; blind equalisers; computational complexity; digital simulation; gradient methods; least mean squares methods; signal processing; Euclidean distance principle; LMS method; Newton gradient method; blind equalization algorithm; complexity algorithm; computer simulations; convergence speed; cost function; signal processing; Adaptive equalizers; Algorithm design and analysis; Blind equalizers; Computer simulation; Convergence; Cost function; Educational institutions; Euclidean distance; Least squares approximation; Random sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1340584
Filename
1340584
Link To Document