A convergence model for the analysis of some blind equalization algorithms

A convergence model that predicts the evolution of the mean-square-error (MSE) trajectory of some blind equalization algorithms is presented. The authors consider the Sato algorithm and its computationally efficient sign versions, namely the Sato sign-error algorithm and the Sato sign-data algorithm...

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Bibliographic Details
Published in1989 IEEE International Symposium on Circuits and Systems (ISCAS) pp. 2136 - 2139 vol.3
Main Authors Weerackody, V., Kassam, S.A., Laker, K.R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1989
Subjects
Adaptive equalizers
Algorithm design and analysis
Blind equalizers
Communication channels
Convergence
Lakes
Least squares approximation
Mean square error methods
Stochastic processes
Trajectory
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Summary:A convergence model that predicts the evolution of the mean-square-error (MSE) trajectory of some blind equalization algorithms is presented. The authors consider the Sato algorithm and its computationally efficient sign versions, namely the Sato sign-error algorithm and the Sato sign-data algorithm. In their analysis they consider only the real system. Simulation results confirm the validity of the approach.< >
DOI:10.1109/ISCAS.1989.100798