Blind Wiener filter estimation for multi-channel systems based on partial information

In a multi-user system where training is not available, blind channel identification and equalization become essential. We present anew method that utilize second order statistics for channel parameter estimation and optimum filtering. The identification algorithm is simple and relies on an outer-product decomposition and partial information of the desired signal channel. It allows the identification of individual user channels for which partial information is known under a specific condition. An optimum receiver structure can then be established for the desired signal channel