Title :
A blind equalizer for nonstationary discrete-valued signals
Author :
Li, Ta-Hsin ; Mbarek, Kais
Author_Institution :
Dept. of Stat., Texas A&M Univ., College Station, TX, USA
fDate :
1/1/1997 12:00:00 AM
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
Keywords :
adaptive equalisers; adaptive signal processing; telecommunication channels; adaptive algorithms; blind equalization; block processing method; communication channels; digital communications; finite alphabetical set; input signals; nonstationary discrete valued signals; simulation results; stochastic gradient implementations; Adaptive algorithm; Adaptive equalizers; Blind equalizers; Channel estimation; Digital communication; Filtering; Intersymbol interference; Nonlinear filters; Telephony; Testing;
Journal_Title :
Signal Processing, IEEE Transactions on
