Adaptive equalization for frequency-selective channels of unknown length

This paper presents a new method for adaptive equalization of communication channels with intersymbol interference, for which the impulse response has an unknown length. Our approach is based on a parameterization of the impulse response as a Gaussian mixture model, whose parameters are estimated from a training sequence. It is shown that the new method can outperform conventional adaptive equalizers using training to estimate the channel.