BLIND IDENTIFICATION AND EQUALIZATION BASED ON 2ND-ORDER STATISTICS -A TIME-DOMAIN APPROACH

A new blind channel identification and equalization method is proposed that exploits the cyclostationarity of oversampled communication sign als to achieve identification and equalization of possibly nonminimum phase (multipath) channels without using training signals. Unlike most adaptive blind equalization methods for which the convergence propert ies are often problematic, the channel estimation algorithm proposed h ere is asymptotically exact. Moreover, since it is based on second-ord er statistics, the new approach may achieve equalization with fewer sy mbols than most techniques based only on higher-order statistics. Simu lations have demonstrated promising performance of the proposed algori thm for the blind equalization of a three-ray multipath channel.