MIMO channel blind identification in the presence of spatially correlated noise

IEEE Transactions on Signal Processing

Volumn 50, Issue 3, 2002, Pages 651-661

  Hachem, Walid ^a,b   Desbouvries, François ^a,c   Loubaton, Philippe ^a,d  

^a IEEE   (France)

^b SUPELEC   (France)

^c INSTITUT NATIONAL DES TÉLÉCOMMUNICATIONS   (France)

^d INSTITUT TELECOM   (France)

Author keywords

Colored noise; MIMO blind identification; Rational spaces; Stochastic realization

Indexed keywords

AUTOCOVARIANCE FUNCTION; BLIND IDENTIFICATION; MULTIPLE INPUT MULTIPLE OUTPUT TRANSFER FUNCTION; SPATIALLY CORRELATED NOISE;

ALGORITHMS; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SIMULATION; MATHEMATICAL MODELS; MULTIVARIABLE SYSTEMS; PARAMETER ESTIMATION; TRANSFER FUNCTIONS; WHITE NOISE;

BLIND SOURCE SEPARATION;

EID: 0036503559     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.984756     Document Type: Article

References (30)

1. Recent developments in blind channel equalization: From cyclostationarity to subspaces
2. Multichannel blind identification: From subspace to maximum likelihood methods
3. A new approach to blind identification and equalization of multipath channels
4. Subspace methods for the blind identification of multichannel FIR filters
5. Blind fractionally-spaced equalization, perfect reconstruction filter banks and multichannel linear prediction
6. Blind identification of multi-input multi-output system using minimum noise subspace
7. A subspace algorithm for certain blind identification problems
8. A Schur method for multiuser multi-channel blind identification
9. Blind identification of MIMO-FIR systems: A generalized linear prediction approach
10. Closed form blind symbol estimation in digital communications
11. Blind joint equalization of multiple synchronous mobile users using oversampling and/or multiple antennas
12. Blind channel estimation and equalization of multiple input multiple output channels
13. A subspace approach to blind space time processing for wireless communication systems
14. Closed-form blind identification of MIMO channels
15. Blind spatio-temporal equalization and impulse response estimation for MIMO channels using a godard cost function
16. Maximum-likelihood direction-of-arrival estimation in the presence of unknown nonuniform noise
17. Parametric methods for spatial signal processing in the presence of unknown colored noise fields
18. Direction finding using noise covariance modeling
19. Identification of rank one rational spectral densities from noisy-observations: A stochastic realization approach
20. Subspace method for blind identification of multichannel FIR systems in noise field with unknown spatial covariance
21. On the identification of noisy MA models
22. On the identification of certain rational transfer functions from truncated autocovariance sequences
23. A stochastic subspace algorithm for blind channel identification in noise fields with unknown spatial color
24. Minimal bases of rational vector spaces, with applications to multivariable linear systems