A Fast Convergent Algorithm for Semi-Blind Equalization

Author

Cao, Lan-Jian ; Fu, Zhi-Zhong

Author_Institution

Dept. of Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2010

fDate

23-25 Sept. 2010

Firstpage

1

Lastpage

4

Abstract

To overcome the disadvantages that the Constant Modulus Algorithm (CMA) and Modified Constant Modulus Algorithm (MCMA) is of low convergence rate, a fast convergent algorithm for semi-blind equalization is presented. We use the CMA and MCMA to perform channel equalization, and adopt LMS algorithm with decision to compensate CMA and MCMA respectively. Simulations, which are done under linear channel and nonlinear channel respectively, indicate that convergence rate of the new algorithm is four times faster than that of Constant Modulus Algorithm and Modified Constant Modulus Algorithm under linear channel. In case of nonlinear channel, the convergence speed of this new semi-blind equalization algorithm is also four times faster than that of Modified Constant Modulus Algorithm.

Keywords

blind equalisers; least mean squares methods; telecommunication channels; LMS algorithm; channel equalization; fast convergent algorithm; modified constant modulus algorithm; nonlinear channel; semi-blind equalization; Blind equalizers; Convergence; Decision feedback equalizers; Filtering algorithms; Finite impulse response filter; Information filters; Least squares approximation;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-3708-5

Electronic_ISBN

978-1-4244-3709-2

Type

conf

DOI

10.1109/WICOM.2010.5600605

Filename

5600605