Soft constraint satisfaction multimodulus blind equalization algorithms

Author

Abrar, Shafayat ; Zerguine, Azzedine ; Deriche, Mohamed

Author_Institution

Dept. of Comput. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia

Volume

2

fYear

2004

fDate

17-21 May 2004

Abstract

In this work, a new algorithm, based on the minimum-disturbance principle with relaxation, is presented for the blind equalization of complex signals. This algorithm combines the benefits of the well-known reduced constellation algorithm (RCA) and constant modulus algorithm (CMA). The convergence characteristics of the proposed algorithm are demonstrated by way of simulations. In addition, closed form expressions are obtained for the statistical (dispersion) constants used in these algorithms.

Keywords

blind equalisers; convergence; intersymbol interference; relaxation; CMA; ISI removal; RCA; channel equalization; constant modulus algorithm; convergence; dispersion constants; equalizer; minimum-disturbance principle; multimodulus blind equalization algorithms; phase error; reduced constellation algorithm; relaxation; soft constraint satisfaction algorithms; statistical constants; Baseband; Blind equalizers; Constraint optimization; Convergence; Data communication; Digital communication; Intersymbol interference; Minerals; Petroleum; Quadrature amplitude modulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8484-9

Type

conf

DOI

10.1109/ICASSP.2004.1326392

Filename

1326392