On-line blind equalization via on-line blind separation

A blind equalization method based on the theory of independent component analysis is presented. The blind equalization of an unknown FIR channel with possibly non-minimum phase is formulated as a blind separation problem. The inputs to the equalizer are formed by stacking the fractional samples of the channel outputs. New on-line blind equalization algorithms are developed from on-line blind separation algorithms, thus they inherit the equivariant property from the equivariant blind separation algorithms. Due to this property, the performance of the new algorithms is independent of the channel parameters. Therefore, they are useful for equalizing some ill-conditioned channels. It is shown by simulations that the proposed algorithm works well when the input sequence has some degree of correlation.