Title :
MIMO blind deconvolution using subspace-based filter deflation
Author :
Diamantaras, K.I. ; Papadimitriou, Th.
Author_Institution :
Dept. of Informatics, TEI, Thessaloniki, Greece
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326856
