Blind equalization algorithm based on cyclostationary property of IF signal

Conventional equalization algorithms in digital communication systems generally require an initial training period during which a known data sequence is transmitted and synchronized at the receiver, resulting in channel resource wasting and making the system more complex. For blind equalization algorithms, the intersymbol interference (ISI) can be eliminated without the initial training period. We advance a blind algorithm based on the cyclostationary property of IF signals, which overcomes the disadvantage of blind to phase information of the CM algorithm, and can converge efficiently in a phase distortion and frequency error system