Zero-forcing blind equalization based on subspace estimation formultiuser systems
Junqiang Shen; Zhi Ding
Communications, IEEE Transactions on
Volume 49, Issue 2, Feb 2001 Page(s):262 - 271
Digital Object Identifier   10.1109/26.905881
Summary:Input signal recovery from frequency-selective fading channels is a problem of great theoretical and practical importance. We present several new blind algorithms that utilize second-order statistics for direct multichannel equalization. The algorithms are based on the subspace extraction of a preselected block column of the channel convolution matrix. For a multiuser system, user signal separation can be achieved based on partial information of the composite channel response. These equalization algorithms do not rely on the precise separation of signal and noise subspaces and therefore tend to be less sensitive to channel order (or column rank) estimation errors. Equalization is directly achieved without channel identification. Furthermore, the equalizability conditions of these algorithms are discussed

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