Property Restoral Approach To Blind Equalization Of Digital Transmission Channels

A new algorithm using property restoral approach for adaptive blind equalization of QAM signals is proposed. According to residual intersymbol interference (HI) levels at equalizer output, the proposed algorithm adopts a single-level radius or a multi-level radius to form the error signal to be minimized. Thus, it is possible to reduce the steady-state error and improve the convergence speed of conventional property restoral algorithms. Introduction The property restoral approach is a widely used blind equalization technique. Instead of using the training sequence the property restoral approach identifies an invariant property of the signal of interest and then uses it for adapting an equalizer. However, the performances for steady-state and blind convergence of conventional property restoral algorithms degrade when they are extended to high-order QAM constellations. In this paper, the problems of conventional property restoral algorithms are formulated, and a novel blind equalization technique based on property restoral approach is presented.