Performance analysis of the subspace method for blind channel identification
Signal Processing - Special issue on subspace methods, part I: array signal processing and subspace computations
Blind identification of MIMO-FIR systems: a generalized linear prediction approach
Signal Processing - Special issue on blind source separation and multichannel deconvolution
Blind Channel Equalization and Identification
Blind Channel Equalization and Identification
Subspace methods for the blind identification of multichannel FIRfilters
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Prediction error method for second-order blind identification
IEEE Transactions on Signal Processing
A blind multichannel identification algorithm robust to orderoverestimation
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Matrix outer-product decomposition method for blind multiplechannel identification
IEEE Transactions on Signal Processing
A subspace algorithm for certain blind identification problems
IEEE Transactions on Information Theory
Blind estimation and equalization of MIMO channels via multidelay whitening
IEEE Journal on Selected Areas in Communications
Blind estimation of MIMO channels with an upper bound for channel orders
Signal Processing
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A new second-order statistics (SOS)-based blind algorithm for MIMO channel estimation is proposed. It can give estimations of all channel impulse responses subject to a scalar matrix ambiguity which is intrinsic to all SOS-based blind methods. As a generalization of the blind identification algorithm for SIMO system in Gazzah et al. (IEEE Trans. Signal Process. 50(6) (2002)1449), this method is truly robust to channel order overestimation, i.e., it can accurately estimate the channels when only upper bounds for all MIMO channel orders are known.