Title of Paper:Adaptive blind equalization in impulsive noise environments

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Date of Publication:2010-01-01

Included Journals:Scopus

Volume:7

Page Number:3295-3299

Abstract:In some communication systems the transmitted signal is contaminated by impulsive noise with a non-Gaussian distribution. Non-Gaussian noise caused significant performance degradation to communication receivers. The new constant modulus blind equalizer based on fractional lower-order statistics of the equalizer input, referred to as FLOS-CMA, is able to mitigate impulsive channel noise while restoring the constant modulus character of the transmitted communication signal. However, like the constant modulus algorithm (CMA), the steady-state mean square error of the FLOS-CMA algorithm may not be sufficiently low for the system to obtain adequate performance. This paper proposes a concurrent equalizer, in which a decision-directed Least Mean p Norm (DD-LMP) equalizer operates cooperatively with a FLOS-CMA equalizer, controlled through a nonlinear link. Simulation results using M-QAM signaling have shown that the concurrent FLOS-CMA and DD-LMP blind equalizer achieves a dramatic improvement in equalization performance over the FLOS-CMA approach. ?2010 IEEE.