A new approach to blind identification and equalization of multipath channels

A novel blind channel identification and equalization method is proposed by exploiting the cyclostationarity of communication signals. Identification and equalization of possibly nonminimum phase multipath channels are achieved without using training signals. Unlike most of the adaptive blind equalization methods for which the convergence properties are often problematic, the eigenstructure-based channel estimation algorithm proposed here is asymptotically exact. Based on the second-order properties, the proposed approach identifies nonminimum phase channels and achieves equalization with fewer samples than most techniques based on higher-order statistics. Simulations demonstrate the promising performance of the proposed algorithm in a blind equalization of a three-ray multipath channel