MIMO blind deconvolution using subspace-based filter deflation

Author

Diamantaras, K.I. ; Papadimitriou, Th.

Author_Institution

Dept. of Informatics, TEI, Thessaloniki, Greece

Volume

4

fYear

2004

fDate

17-21 May 2004

Abstract

We solve the overdetermined MIMO blind deconvolution problem for independent, stationary, and temporally white sources. Our approach is based on the SVD analysis of the output autocorrelation matrices at different time lags. The key idea is the identification of suitable subspace projectors which achieve an effective reduction of the filter length. We refer to this process as "filter deflation". Recursive applications of the filter deflation transform simplify the problem into an instantaneous BSS problem.

Keywords

MIMO systems; blind source separation; correlation methods; deconvolution; recursive filters; singular value decomposition; MIMO blind deconvolution; SVD analysis; filter deflation transform; filter length reduction; independent stationary sources; instantaneous BSS problem; output autocorrelation matrices; overdetermined blind deconvolution; recursive filter; subspace projectors; subspace-based filter deflation; temporally white sources; time lags; Additive white noise; Autocorrelation; Deconvolution; Finite impulse response filter; Frequency; Higher order statistics; Informatics; MIMO; Matrix decomposition; Source separation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8484-9

Type

conf

DOI

10.1109/ICASSP.2004.1326856

Filename

1326856