Blind equalization in the presence of jammers and unknown noise: solutions based on second-order cyclostationary statistics

All The existing second-order-based blind-channel identification methods lead to eonsistent estimates in the case where the second-order statistics of the noise are known up to a constant factor. By using the cyclostationarity of the useful signal we establish that these algorithms can be adapted to the ease where the useful signal is corrupted by jammers and/or unknown noise. A common methodology based on certain spectral factorization problems is shown to underlie all these methods.