Blind identification and equalization of minimum-phase channels

In this paper, a second order statistics based technique of blind identification and equalization is proposed for minimum phase channels driven by stochastically independent colored signals. Sufficient identifiability conditions are given. Unlike most existing blind identification methods, this method does not require the number of sensors to be greater than the number of source signals. Simulation results are given to demonstrate the performance of the proposed algorithm.