Robust blind equalization algorithms based on the constrained maximization of a fourth-order cumulant function
The present letter deals with the blind equalization problem of a single-input single-output infinite impulse response (SISO-IIR) channel with additive Gaussian noise. To solve the problem, we propose a new criterion for maximizing constrainedly a fourth-order cumulant. The algorithms derived from the criterion have such a novel property that even if Gaussian noise is added to the output of the channel, an effective zero-forcing (ZF) equalizer can be obtained with as little influence of Gaussian noise as possible. To show the validity of the proposed criterion, some simulation results are presented.
blind equalization fourth-order cumulant functions gaussian noise single-input single-output infinite impulse response (siso-iir) systems eigenvector algorithms