7 research outputs found
Structure-Based Subspace Method for Multi-Channel Blind System Identification
In this work, a novel subspace-based method for blind identification of
multichannel finite impulse response (FIR) systems is presented. Here, we
exploit directly the impeded Toeplitz channel structure in the signal linear
model to build a quadratic form whose minimization leads to the desired channel
estimation up to a scalar factor. This method can be extended to estimate any
predefined linear structure, e.g. Hankel, that is usually encountered in linear
systems. Simulation findings are provided to highlight the appealing advantages
of the new structure-based subspace (SSS) method over the standard subspace
(SS) method in certain adverse identification scenarii.Comment: 5 pages, Submitted to IEEE Signal Processing Letters, January 201
New blind deflation-based deconvolution algorithms using givens and shear rotations
International audienc
On the performance evaluation of blind system identification in presence of side information
International audienc
Toeplitz Structured Subspace for Multi-Channel Blind Identification Methods
International audienc