Source independent blind equalization with fractionally-spaced sampling

A generalization of the super-exponential blind equalization algorithm for fractionally-spaced sampling is presented. Taking advantage of the increased degrees of freedom in selecting higher order statistics of cyclostationary signals, two different cost functions are proposed for blind equalization. One of them allows the inverse of a bandlimited continuous channel to be identified without aliasing, and the other leads to a blind counterpart of a decision-directed fractionally-spaced equalizer (FSE). Simulation results document the performance of these algorithms.