Robust blind channel identification through regularized linear prediction

"This work reviews the blind linear prediction (LP) approach to combat the loss of digital communications system performance due to intersymbol interference (ISI) and discusses that its alleged robustness to model order overestimation is restricted to the theoretical conditions of exactly known received signal statistics. To circumvent these limitations, alternative solution criteria to the least-squares optimization underlying the LP approach are examined together with simulations that point to regularization as the best candidate that balances variance and bias."