@article {IOPORT.01454139,
    author       = {Vandaele, Piet and Moonen, Marc},
    title        = {A stochastic subspace algorithm for blind channel identification in noise fields with unknown spatial covariance.},
    year         = {2000},
    journal      = {Signal Processing},
    volume       = {80},
    number       = {2},
    issn         = {0165-1684},
    pages        = {357-364},
    publisher    = {Elsevier Science, Amsterdam},
    doi          = {10.1016/S0165-1684(99)00134-6},
    abstract     = {Summary: The blind channel identification problem is formulated in a stochastic state space framework. Starting from a state space model, we introduce a preprocessing step based on two orthogonal subspace projections, derived from the theory of {\it P. Van Overschee} and {\it B. De Moor} [Subspace identification for linear systems: theory, implementation, applications, Kluwer, Dordrecht (1996; Zbl 0888.93001)]. Using these orthogonal projections, we present an algorithm for blind channel estimation which is robust to the spatial color of the noise.},
    identifier   = {01454139},
}