Blind equalization based on a cascade of a new algorithm and multi-step prediction error filter
Mohammad .S. T. Badran · 2016
Adaptive channel equalization accomplished without a training sequence is known as blind equalization. Blind equalizers may be implemented with linear prediction error filters (LPEF) but the delay (D) cannot be controlled with one-step predictors to minimize the mean square error (MSE). Consequently, multi-step prediction error filters (MSPEF) has been suggested as a solution to the problem. But the slowness of the convergence process will remain a problem, so we propose a new technique to fast the convergence rate. In this paper, a blind equalizer composed of a modified algorithm (MA) cascaded with MSPEF is proposed (MAMSPEF). Simulation results show comparable improvements of the proposed equalizer relative to the LPEF or the MSPEF equalizers and compared also with CMAMSPEF for symmetric constellation QAM.