Title :
Equivariant blind deconvolution of MIMO-FIR channels
Author :
Gorokhov, Alexei ; Cardoso, Jean-FranGois
Author_Institution :
Dept. Signal, CNRS, Paris, France
Abstract :
We address the blind identification and deconvolution of multiple input multiple output (MIMO) linear FIR channels. This is an instance of blind separation of convolutive mixtures. The unknown system is decomposed in two factors. The first factor can be deterministically identified from a finite data set; the second factor is shown to belong to a multiplicative group. This last property allows the implementation of effective equivariant deconvolution algorithms, including the maximum likelihood (ML) estimator.
Keywords :
FIR filters; MIMO systems; deconvolution; maximum likelihood estimation; telecommunication channels; uncertain systems; MIMO-FIR channels; blind identification; blind separation; convolutive mixtures; decomposition; effective equivariant deconvolution algorithms; equivariant blind deconvolution; finite data set; maximum likelihood estimator; multiple input multiple output linear FIR channels; multiplicative group; unknown system; Data models; Deconvolution; Equations; Finite impulse response filter; MIMO; Maximum likelihood estimation; Reduced order systems; Signal processing; Statistics;
Conference_Titel :
Signal Processing Advances in Wireless Communications, First IEEE Signal Processing Workshop on
Conference_Location :
Paris, France
Print_ISBN :
0-7803-3944-4
DOI :
10.1109/SPAWC.1997.630076
