Zero-forcing blind equalization based on subspace estimation for multiusersystems

Authors
Citation
Jq. Shen et Z. Ding, Zero-forcing blind equalization based on subspace estimation for multiusersystems, IEEE COMMUN, 49(2), 2001, pp. 262-271
Citations number
14
Categorie Soggetti
Information Tecnology & Communication Systems
Journal title
IEEE TRANSACTIONS ON COMMUNICATIONS
ISSN journal
00906778 → ACNP
Volume
49
Issue
2
Year of publication
2001
Pages
262 - 271
Database
ISI
SICI code
0090-6778(200102)49:2<262:ZBEBOS>2.0.ZU;2-J
Abstract
Input signal recovery from frequency-selective fading channels is a problem of great theoretical and practical importance. In this paper, we present s everal new blind algorithms that utilize second-order statistics for direct multichannel equalization. The algorithms are based on the subspace extrac tion of a preselected block column of the channel convolution matrix. For m ultiuser system, user signal separation can be achieved based on partial in formation of the composite channel response. These equalization algorithms do not rely on the precise separation of signal and noise subspaces and the refore tend to be less sensitive to channel order (or column rank) estimati on errors. Equalization is directly achieved without channel identification . Furthermore, equalizability conditions of these algorithms are discussed.