Convergence analysis of the stop-and-go blind equalization algorithm

Author

Lee, Wonho ; Cheun, Kyungwhoon

Author_Institution

Dept. of Electron. & Electr. Eng., Pohang Univ. of Sci. & Technol., South Korea

Volume

47

Issue

2

fYear

1999

fDate

2/1/1999 12:00:00 AM

Firstpage

177

Lastpage

180

Abstract

Unlike traditional trained channel equalizers, not much work has been done to theoretically characterize the convergence properties of blind channel equalizers due to their inherent nonlinearity. It is only recently that convergence properties of some well-known algorithms such as the generalised Sato algorithm (GSA) and the constant modulus algorithm (CMA) have been analytically derived. In this paper, the convergence properties of the stop-and-go algorithm proposed by Picchi and Prati (1987) are analyzed. The derived mean squared error and the coefficient trajectories are compared with simulation results to verify the validity of the analytical results

Keywords

blind equalisers; convergence of numerical methods; iterative methods; mean square error methods; quadrature amplitude modulation; 16-QAM signal constellation; blind channel equalizers; coefficient trajectories; convergence analysis; mean squared error; stop-and-go blind equalization algorithm; Algorithm design and analysis; Analytical models; Blind equalizers; Convergence; Covariance matrix; Equations; Error correction; Gaussian noise; Iterative algorithms; Vectors;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/26.752120

Filename

752120