Zero-forcing blind equalization based on subspace estimation for multiuser systems.

Zero-forcing blind equalization based on subspace estimation for multiuser systems.

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 prese...

Descrición completa

Detalles Bibliográficos
Publicado en:IEEE Transactions on communications 49, 2 (2001).
Autor Principal: Junqiang Shen
Formato: Artigo
Idioma:English
Subjects:
CDMA.
ISI cancellation.
MIMO systems.
SIMO systems.
Blind algorithms.
Channel convolution matrix.
Composite channel response.
Equalization algorithms.
Frequency-selective fading channels.
Input signal recovery.
Multichannel equalization.
Multiuser system.
Multiuser systems.
Partial information.
Preselected block column.
Second-order statistics.
Subspace estimation.
Subspace extraction.
User signal separation.
Zero-forcing blind equalization.