Improved Blind Equalization via Adaptive Combination of Constant Modulus Algorithms

Author

Arenas-García, Jeroónimo ; Figueiras-Vidal, Anibal R.

Author_Institution

Dept. of Signal Theory & Commun., Univ. Carlos III de Madrid

Volume

3

fYear

2006

fDate

14-19 May 2006

Abstract

Adaptive blind equalization plays an essential role in modern communication systems. We propose to improve the performance of constant modulus algorithm (CMA) based equalizers by using an adaptive convex combination of two CMA filters with a large and small step size, respectively, in order to simultaneously obtain fast convergence with low misadjustment during stationary periods. Some experiments show the effectiveness of the new algorithm and suggest that it is a reasonable alternative to blind equalizers that commute between the CMA and the (decision-directed) least mean square filter

Keywords

adaptive equalisers; adaptive filters; blind equalisers; least mean squares methods; adaptive blind equalization; adaptive convex combination; constant modulus algorithms; decision-directed least mean square filter; Adaptive equalizers; Adaptive filters; Baseband; Blind equalizers; Communication systems; Constellation diagram; Convergence; Decision feedback equalizers; Nonlinear filters; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660764

Filename

1660764