A blind intersymbol interference cancellation method for multi-user systems with channel diversity

We propose a direct blind zeroforcing approach to cancel intersymbol interference (ISI) in multiple user FIR channels. By selectively anchoring columns of the channel convolution matrix, we present two column-anchoring zeroforcing equalizers (CAZE). Unlike many known blind identification algorithms, these equalizers do not need an accurate estimate of the channel orders. Exploiting second order statistics of the received signals, they can retain a pre-selected block column in the channel convolution matrix (the number of columns in a block column equals that of the users) and force the remaining columns to zero. Simulation results show that the CAZE is effective for blind equalization of linear QAM wireless communication systems.