A Bayesian approach to blind equalization using fractional sampling
G. Panci, Gaetano Scarano, G. Jacovitti · 2003
The optimum design of blind fractionally spaced equalizers is addressed within the framework of a Bayesian approach. The resulting iterative Bussgang-like equalizer design incorporates constraints on the overall channel-equalizer response in order to meet the Nyquist characteristic (raised cosine). The experienced convergence robustness also results in increased accuracy.