Blind Wiener filter estimation for multi-channel systems based on partial information
نویسنده
چکیده
In a multi-user system where training is not available, blind channel identi cation and equalization become essential. In this paper, we present a new method that utilizes second order statistics for channel parameter estimation and optimum ltering. The identi cation algorithm is simple and relies on an outer-product decomposition and partial information of the desired signal channel. It allows the identication of individual user channels for which partial information is known under a speci c condition. An optimum receiver structure can then be established for the desired signal channel.
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