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
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;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1340584
