Blind equalization based on joint minimum MSE criterion

Author

Ding, Zhi

Author_Institution

Dept. of Electr. Eng., Auburn Univ., AL, USA

Volume

42

Issue

234

fYear

1994

Firstpage

648

Lastpage

654

Abstract

A joint minimum mean square error (MSE) criterion is presented for blind adaptive channel equalization of QAM signals. By jointly estimating the transmitted sequence and the equalizer parameters through the minimization of MSE, the equalizer parameters can be optimized and the channel input sequence can be restored at the equalizer output. To improve computational efficiency, a reduced constellation recursive least squares (RLS) algorithm is introduced for blind equalisation. Simulation results show the success of both the least square and the reduced constellation RLS algorithms

Keywords

amplitude modulation; equalisers; least squares approximations; minimisation; parameter estimation; QAM signals; RLS algorithm; adaptive channel equalization; blind equalisation; channel input sequence; computational efficiency; equalizer parameters; joint minimum mean square error criterion; reduced constellation recursive least squares algorithm; Adaptive equalizers; Algorithm design and analysis; Blind equalizers; Computational efficiency; Computational modeling; Least squares methods; Resonance light scattering; Signal processing algorithms; Signal restoration; Stochastic processes;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/TCOMM.1994.577092

Filename

577092