Min-norm based alphabet-matching algorithm for adaptive blind equalisation of high-order QAM signals.

ABSTRACT An adaptive blind equalisation algorithm for high-order quadrature amplitude modulations is proposed. It is derived by combining the multi-modulus criterion and a new alphabet-matching penalty term. This penalty is based on the minimum ℓ₁-norm of the deviations of the equaliser output from the alphabet elements. Numerical experiments show that the proposed criterion provides higher performance in terms of residual error and convergence speed than the conventional multi-modulus algorithm and its penalised versions. Copyright © 2012 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]