Linear programming applied to blind signal equalization

The aim of this paper is to present a proposal for convex optimization, based on linear programming, for blind equalizers applied to digital communication systems. Different to solutions that have been presented in the literature using linear programming, the proposed model takes into consideration channels with intersymbol interference and Gaussian additive noise. The work also provides a comparative evaluation of the performance of interior-point, active-set, and simplex methods applied to the optimization process involving the blind equalizer. The results of simulations for different digital communication systems are presented using bit error rate performance curves.