A Deflation Algorithm for the Blind Deconvolution of MIMO-FIR Channels Driven by Fourth-Order Colored Signals.

Mitsuru Kawamoto (1) , Y. Inouye (2) , Ali Mansour (3) , R. Liu (4)

1 AIST - Advanced Industrial Science and technology
2 Depart. of Electronic and control systems Eng.
3 Lab-STICC_ENSTAB_CACS_COM
4 Depart of Electrical Engineering

In this paper, we propose a new iterative algorithm to solve the blind deconvolution problem of MIMO-FIR channels driven by source signals which are temporally second-order uncorrelated but fourth-order correlated and spatially second- and fourth-order uncorrelated. In our new approach, to solve the blind deconvolution problem, we consider two stages: First, filtered source signals are extracted from the mixtures of source signals. Second, the source signals are recovered from the filtered source signals.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Mitsuru Kawamoto, Y. Inouye, Ali Mansour, R. Liu. A Deflation Algorithm for the Blind Deconvolution of MIMO-FIR Channels Driven by Fourth-Order Colored Signals.. International Conference on Acoustics Speech and Signal Processing 2002, ICASSP 2002,, May 2002, Orlando, United States. ⟨hal-00802774⟩