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

IEEE Transactions on Communications

Volumn 49, Issue 2, 2001, Pages 262-271

  Shen, Junqiang ^a,b   Ding, Zhi ^a,c  

^a IEEE   (United States)

^b DELPHI CORPORATION   (United States)

^c University of California   (United States)

Author keywords

Channel identification; Data communications; Equalization; Interference suppression

Indexed keywords

CHANNEL CONVOLUTION MATRIX; FADING CHANNELS; FREQUENCY SELECTIVE CHANNELS; MULTICHANNEL EQUALIZATION; MULTIUSER INTERFERENCE; MULTIUSER SYSTEMS; SECOND ORDER STATISTICS; ZERO-FORCING BLIND EQUALIZATION;

ALGORITHMS; BLIND SOURCE SEPARATION; COMMUNICATION CHANNELS (INFORMATION THEORY); CONVOLUTION; DATA COMMUNICATION SYSTEMS; DIGITAL COMMUNICATION SYSTEMS; INTERFERENCE SUPPRESSION; INTERSYMBOL INTERFERENCE; MATRIX ALGEBRA; MULTIVARIABLE SYSTEMS; SPURIOUS SIGNAL NOISE; STATISTICAL METHODS;

SIGNAL FILTERING AND PREDICTION;

EID: 0035248085     PISSN: 00906778     EISSN: None     Source Type: Journal    
DOI: 10.1109/26.905881     Document Type: Article

References (14)

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6. A least-squares approach to blind channel identification
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8. A blind intersymbol interference cancellation method for multi-user systems with channel diversity
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10. Blind equalization and multiuser detection
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12. Applications of blind second order statistics MIMO identification methods to the blind CDMA forward link channel estimation