A blind equalizer for nonstationary discrete-valued signals

Authors:
Ta-Hsin Li;K. Mbarek
Affiliations:
Dept. of Stat., Texas A&M Univ., College Station, TX;-
Venue:
IEEE Transactions on Signal Processing
Year:
1997

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Abstract

Adaptive algorithms are proposed for blind equalization of communication channels. The algorithms explicitly utilize the finite alphabetical set of the input signals and minimize a criterion that depends solely on the alphabetical set. The method is shown to be able to handle nonstationary signals without requiring or estimating their time-varying statistical parameters. Simulation results are presented to test and demonstrate the method